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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. 9-RES-JB
    11. 15786
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    Explanations

    numerical figures related to quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to user counts, incidents, or other measurable quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estine
    -0.71
    timer
    -0.69
    hran
    -0.69
    inges
    -0.67
     Resurrection
    -0.65
    rium
    -0.64
    liest
    -0.64
    eway
    -0.63
     yours
    -0.62
    hood
    -0.61
    POSITIVE LOGITS
     million
    1.02
     000
    0.97
    km
    0.96
     pounds
    0.95
    lbs
    0.93
     kilograms
    0.92
     km
    0.89
     lbs
    0.87
     miles
    0.87
    KB
    0.87
    Activations Density 0.144%

    No Known Activations