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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. 9884
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    Explanations

    words related to product or brand names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to titles, names, and significant terms from various media or products

    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
    ////////////////////////////////
    -0.63
    ãģķ
    -0.61
    ////////
    -0.60
     "'
    -0.58
    acters
    -0.57
     FUN
    -0.56
     JO
    -0.56
     deduction
    -0.56
     compos
    -0.55
     deaf
    -0.55
    POSITIVE LOGITS
    acia
    1.04
    agraph
    1.04
    inct
    1.01
    urion
    1.00
    isphere
    1.00
    inia
    1.00
    acion
    0.99
    onia
    0.99
    rax
    0.98
    endium
    0.97
    Activations Density 0.178%

    No Known Activations