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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. 1-RES-JB
    11. 956
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    Explanations

    short words with the prefix "un-"

    oai_token-act-pair · gpt-3.5-turbo

    repeated prefixes indicating negation or absence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.88
    uyomi
    -0.83
    anwhile
    -0.77
    jriwal
    -0.75
    hetti
    -0.73
     Dynamics
    -0.70
     Landing
    -0.69
    olini
    -0.69
     briefs
    -0.68
     Trilogy
    -0.68
    POSITIVE LOGITS
    balanced
    1.05
    apolog
    1.01
    confirmed
    0.97
    quant
    0.97
    assuming
    0.95
    availability
    0.93
    ident
    0.92
    rep
    0.91
    ifying
    0.90
    modified
    0.90
    Activations Density 0.018%

    No Known Activations