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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. 6-RES-JB
    11. 7629
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    Explanations

    references to staff members and staff-related activities or interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to staff members

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fem
    -0.90
     arous
    -0.74
    pend
    -0.68
    BIP
    -0.64
    ICAN
    -0.64
     Bout
    -0.63
    ICO
    -0.63
     Roosevelt
    -0.63
     fem
    -0.62
     Allaah
    -0.61
    POSITIVE LOGITS
     members
    1.00
    member
    0.99
    members
    0.98
     sergeant
    0.97
     member
    0.95
    atcher
    0.88
    emouth
    0.83
    s
    0.75
    irtual
    0.74
     assignments
    0.74
    Activations Density 0.036%

    No Known Activations