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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. 17213
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    Explanations

    dates and times followed by events or actions

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and dates in the text

    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
     Lauder
    -0.65
     Canaver
    -0.65
    cius
    -0.63
     Schne
    -0.61
    essen
    -0.61
     Spiel
    -0.59
     Goldberg
    -0.59
    reditary
    -0.58
     Hag
    -0.58
     Professor
    -0.58
    POSITIVE LOGITS
    imeo
    0.72
    itized
    0.65
     indicates
    0.64
     appre
    0.63
    anon
    0.63
     attachment
    0.62
     reinforces
    0.62
    SPONSORED
    0.61
    thumbnails
    0.59
    eely
    0.58
    Activations Density 0.051%

    No Known Activations