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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. 14666
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    Explanations

    phrases indicating a focus on a specific matter or issue

    oai_token-act-pair · gpt-3.5-turbo

    phrases or expressions referring to essential or critical concepts

    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
    cius
    -0.82
    ategor
    -0.77
    prus
    -0.73
    chwitz
    -0.72
    notations
    -0.72
    ilings
    -0.70
    ritic
    -0.68
    dinand
    -0.68
     unfocusedRange
    -0.67
    onomy
    -0.67
    POSITIVE LOGITS
     survives
    0.77
     redeem
    0.77
     conceivable
    0.77
     lasts
    0.74
     Scrib
    0.73
    ieth
    0.73
     shred
    0.73
     avail
    0.69
     feasible
    0.68
     anymore
    0.67
    Activations Density 0.092%

    No Known Activations