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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. 5992
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    Explanations

    numerical figures related to quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values representing quantities or amounts

    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
    estine
    -0.85
    ime
    -0.76
    imaru
    -0.75
    nam
    -0.73
    imes
    -0.72
    llor
    -0.70
    hold
    -0.70
    actic
    -0.70
    olulu
    -0.69
    swer
    -0.67
    POSITIVE LOGITS
     MHz
    1.06
     watts
    0.95
    MHz
    0.93
     miles
    0.93
     acres
    0.92
     pounds
    0.92
    Hz
    0.91
    px
    0.89
     lbs
    0.89
    lbs
    0.88
    Activations Density 0.062%

    No Known Activations