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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. 12-RES-JB
    11. 2696
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    Explanations

    names of individuals in a managerial or leadership role within a sports context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of managers and coaches in a sporting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.80
    Footnote
    -0.65
     Parenthood
    -0.65
    ername
    -0.63
    Ô
    -0.63
     flavors
    -0.63
    oÄŁ
    -0.62
    iatrics
    -0.61
     thru
    -0.61
     subsequ
    -0.60
    POSITIVE LOGITS
     Monk
    0.91
     Jol
    0.81
     Woodward
    0.77
     Guardiola
    0.76
     McCl
    0.70
     Walsh
    0.68
     Rodgers
    0.68
     Neville
    0.66
     Bruce
    0.66
     Kinn
    0.65
    Activations Density 0.063%

    No Known Activations