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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. 21068
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    Explanations

    words related to job titles or positions in a sports context, specifically focusing on offensive and defensive coordinators

    oai_token-act-pair · gpt-3.5-turbo

    mentions of coordinators in various contexts

    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
    ulz
    -0.72
    ighters
    -0.65
    tab
    -0.63
    Imm
    -0.62
    Hig
    -0.60
    adish
    -0.60
    Ctrl
    -0.59
     pint
    -0.59
    Squ
    -0.59
    thur
    -0.58
    POSITIVE LOGITS
     coordinator
    0.95
     Coordinator
    0.91
     Ernst
    0.78
     Loren
    0.76
     Zig
    0.75
     Giovanni
    0.74
    inator
    0.72
     coordin
    0.71
     Stephenson
    0.71
    creator
    0.71
    Activations Density 0.008%

    No Known Activations