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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. 8-RES-JB
    11. 24131
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    Explanations

    words related to evaluation or judgment of actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating strong opinions or criticisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -0.70
    eneg
    -0.68
    obos
    -0.67
    ournal
    -0.66
    apons
    -0.64
    oping
    -0.64
    rollers
    -0.63
    otics
    -0.62
    USS
    -0.62
    untled
    -0.61
    POSITIVE LOGITS
     anyway
    0.94
     anyways
    0.88
    .<
    0.85
    .?
    0.84
    .</
    0.84
    .
    0.84
     anymore
    0.83
    ãĢĤ
    0.83
    .''
    0.82
    .(
    0.81
    Activations Density 0.658%

    No Known Activations