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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 14888
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    Explanations

    adjectives describing the intensity or impact of specific events or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing significant or noteworthy characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.88
     teasp
    -0.82
    thur
    -0.80
    avery
    -0.72
    checked
    -0.72
    amb
    -0.72
    WithNo
    -0.71
    attery
    -0.70
    ila
    -0.70
    StreamerBot
    -0.70
    POSITIVE LOGITS
     imaginable
    1.04
     thing
    1.00
     aspect
    0.97
     manifestation
    0.97
     aspects
    0.96
     incarnation
    0.89
     conceivable
    0.86
     iteration
    0.86
     installment
    0.83
     ever
    0.83
    Activations Density 0.136%

    No Known Activations