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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. 12562
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    Explanations

    strengthened or emphasized words, such as intensifiers or words with strong emotion

    oai_token-act-pair · gpt-3.5-turbo

    processed forms of verbs and adjectives

    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
    INESS
    -0.73
    TEXTURE
    -0.63
    FUN
    -0.62
     negativity
    -0.61
    HOME
    -0.57
    NESS
    -0.57
    farm
    -0.56
     Victory
    -0.52
    EEK
    -0.52
     Typhoon
    -0.52
    POSITIVE LOGITS
    itled
    1.31
    inged
    1.25
    umbered
    1.23
    ominated
    1.21
    marked
    1.21
    illed
    1.20
    lished
    1.19
    ared
    1.17
    alled
    1.16
    tained
    1.16
    Activations Density 0.291%

    No Known Activations