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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4762
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    Explanations

    names and references to individuals, particularly those involved in political or legal matters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those named Nadler

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osuke
    -0.92
    ous
    -0.86
    ously
    -0.82
    birds
    -0.74
    ive
    -0.69
    draw
    -0.68
    oin
    -0.67
    osate
    -0.66
    utical
    -0.65
    OUS
    -0.65
    POSITIVE LOGITS
    rament
    0.83
    aleigh
    0.82
    acher
    0.81
    roth
    0.80
    ablishment
    0.75
    gew
    0.74
    zel
    0.74
     Reich
    0.74
    ener
    0.73
    ged
    0.72
    Activations Density 0.068%

    No Known Activations