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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. 15575
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    Explanations

    phrases related to sports, particularly football and field goals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to football or field goals

    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
    trak
    -0.83
    agar
    -0.76
     tremend
    -0.76
    doms
    -0.75
    apest
    -0.73
    ħĭ
    -0.71
    chev
    -0.70
    agara
    -0.70
    iband
    -0.69
    seless
    -0.68
    POSITIVE LOGITS
     Grayson
    0.64
     throws
    0.64
     Rica
    0.63
    taboola
    0.62
    adoes
    0.59
    jamin
    0.59
    ISION
    0.59
    uese
    0.59
    ouston
    0.58
     pitcher
    0.58
    Activations Density 0.037%

    No Known Activations