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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. 9-RES-JB
    11. 13329
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    Explanations

    capitalized words emphasized for importance or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    emphatic negations and affirmations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orio
    -0.71
    ffen
    -0.68
    isoft
    -0.67
    ãĥĥãĥĪ
    -0.64
    opol
    -0.64
    adem
    -0.63
    urers
    -0.63
    perties
    -0.63
    ische
    -0.62
    lahoma
    -0.62
    POSITIVE LOGITS
    ELY
    1.45
    THING
    1.45
    ALLY
    1.44
    LY
    1.40
     THERE
    1.40
    WHERE
    1.40
    ONE
    1.37
    VER
    1.34
    HO
    1.32
    OTHER
    1.30
    Activations Density 0.181%

    No Known Activations