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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. 21691
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    Explanations

    numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or codes

    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
    ãĥ£
    -0.75
     snipp
    -0.69
     ferocious
    -0.65
     conglomer
    -0.65
    asts
    -0.64
    anes
    -0.64
     damned
    -0.64
    esan
    -0.63
     Indies
    -0.63
    drawn
    -0.63
    POSITIVE LOGITS
    011
    1.14
    003
    1.12
    005
    1.11
    004
    1.11
    001
    1.09
    010
    1.08
    013
    1.07
    012
    1.07
    009
    1.07
    0002
    1.04
    Activations Density 0.012%

    No Known Activations