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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. 10-RES-JB
    11. 23398
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    Explanations

    words related to supervision and oversight

    oai_token-act-pair · gpt-3.5-turbo

    words related to supervision and oversight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tone
    -0.73
    lace
    -0.69
    beard
    -0.68
    bite
    -0.68
    water
    -0.68
    cloth
    -0.68
    lights
    -0.68
    ness
    -0.67
     Thirty
    -0.66
    forth
    -0.65
    POSITIVE LOGITS
    ising
    1.93
    ised
    1.72
    ises
    1.70
    isers
    1.66
    ise
    1.59
    isions
    1.58
    isable
    1.49
    isons
    1.46
    isation
    1.46
    ision
    1.41
    Activations Density 0.057%

    No Known Activations