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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. 3-RES-JB
    11. 16678
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    INDEX
    Explanations

    words related to voluntary actions or choices

    oai_token-act-pair · gpt-3.5-turbo

    words related to decision-making and action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.76
    aptic
    -0.69
    ĻĤ
    -0.68
    asio
    -0.66
    psc
    -0.64
    rop
    -0.60
    odium
    -0.60
    apper
    -0.59
    ashington
    -0.58
     extrem
    -0.58
    POSITIVE LOGITS
    ition
    1.21
    eer
    1.06
    eers
    1.06
    itious
    1.02
    itions
    0.97
    eering
    0.96
    naire
    0.95
    ary
    0.94
    ality
    0.84
    ing
    0.83
    Activations Density 0.016%

    No Known Activations