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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. 9354
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    Explanations

    references to sports coaches, particularly offensive coordinators

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    ighters
    -0.66
    ulz
    -0.65
    squ
    -0.64
    Imm
    -0.62
     sacrifices
    -0.61
    Squ
    -0.61
    Ctrl
    -0.60
    pez
    -0.60
    adish
    -0.59
    avery
    -0.59
    POSITIVE LOGITS
     coordinator
    0.88
     Coordinator
    0.82
     Ernst
    0.80
    inator
    0.74
    inators
    0.74
     Herz
    0.70
     Giovanni
    0.68
     Noel
    0.67
     Ricardo
    0.67
     coordin
    0.66
    Activations Density 0.014%

    No Known Activations