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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. 3-RES-JB
    11. 16733
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    Explanations

    the word "asc" with different contexts and spellings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaluation or assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STER
    -0.74
     Keynes
    -0.73
     Kers
    -0.70
    assetsadobe
    -0.70
     stale
    -0.69
    frame
    -0.63
     Hyde
    -0.63
    tons
    -0.63
     Gibson
    -0.62
    giving
    -0.62
    POSITIVE LOGITS
    adia
    1.19
    ribed
    1.19
    adian
    1.17
    endant
    1.07
    urred
    1.06
    ension
    1.03
    ription
    1.00
    ribe
    1.00
    endants
    0.99
    asc
    0.99
    Activations Density 0.009%

    No Known Activations