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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. 10-RES-JB
    11. 16341
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    Explanations

    words related to various products or brands

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or organizations involved in advocacy or interest representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    —"
    -0.79
    âĢij
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    TPPStreamerBot
    -0.70
    ãĥ«
    -0.70
     nineteen
    -0.66
    "—
    -0.66
     senator
    -0.66
    ij士
    -0.65
     eighteenth
    -0.65
    ä¸Ĭ
    -0.64
    POSITIVE LOGITS
     &
    2.29
     (&
    1.84
    &
    1.80
    (&
    1.42
     thru
    1.17
     ::
    1.12
     @
    1.10
     +
    1.10
     ±
    1.02
     Vs
    1.01
    Activations Density 0.124%

    No Known Activations