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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. 9-RES-JB
    11. 2915
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    Explanations

    words related to coordination or organization, possibly associated with positions or roles

    oai_token-act-pair · gpt-3.5-turbo

    words related to coordination or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zza
    -0.70
    kered
    -0.68
    ONSORED
    -0.68
    kins
    -0.67
    prus
    -0.65
    kens
    -0.64
    pload
    -0.63
    )=(
    -0.62
    ======
    -0.62
    GY
    -0.62
    POSITIVE LOGITS
    inates
    1.23
    inated
    1.14
    inator
    1.14
    nance
    1.13
    ination
    1.05
    inately
    1.03
    inance
    1.00
    inances
    1.00
    ova
    0.99
    inarily
    0.99
    Activations Density 0.048%

    No Known Activations