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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. 4-RES-JB
    11. 24402
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    Explanations

    words related to significant victories or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to overwhelming victories or large-scale events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.80
    stra
    -0.76
    ringe
    -0.75
    acus
    -0.74
    anooga
    -0.73
    rum
    -0.72
    emis
    -0.70
    ogi
    -0.69
    rices
    -0.67
    aum
    -0.67
    POSITIVE LOGITS
     landslide
    1.13
     landsl
    0.91
     avalanche
    0.81
    ulously
    0.76
     majorities
    0.74
     Canaver
    0.69
    stakes
    0.67
    bum
    0.67
    udeau
    0.67
    ipop
    0.65
    Activations Density 0.010%

    No Known Activations