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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. 14895
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    Explanations

    words related to political figures or events

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with individuals and entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.68
    sylv
    -0.61
    KO
    -0.61
    ount
    -0.59
     merc
    -0.58
     reversible
    -0.57
    ocene
    -0.57
    olia
    -0.57
    OTUS
    -0.57
    heit
    -0.56
    POSITIVE LOGITS
     Sabha
    0.75
    à¨
    0.71
    ĪĴ
    0.71
    EStream
    0.65
    CRIP
    0.64
    TEXTURE
    0.64
    unal
    0.64
    EStreamFrame
    0.61
    ooth
    0.61
    jad
    0.61
    Activations Density 0.216%

    No Known Activations