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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. 11-RES-JB
    11. 3771
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    Explanations

    noun phrases related to legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to influences on policy or public opinion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    âĢij
    -0.76
     Gutenberg
    -0.69
    —"
    -0.64
    ij士
    -0.64
    ä¸Ĭ
    -0.64
    aiman
    -0.63
    ä»
    -0.62
    ãĥ«
    -0.61
     nineteen
    -0.61
    TPPStreamerBot
    -0.59
    POSITIVE LOGITS
     &
    2.49
    &
    1.94
     (&
    1.74
    (&
    1.36
     thru
    1.12
     Vs
    1.08
     @
    1.01
     ::
    1.00
     +
    0.97
    \\
    0.96
    Activations Density 0.169%

    No Known Activations