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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 4863
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    INDEX
    Explanations

    exclamations expressing excitement or urgency

    oai_token-act-pair · gpt-3.5-turbo

    prominent exclamatory expressions or attention-catching phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     paraph
    -0.71
     Aram
    -0.69
     Chin
    -0.68
     Cyr
    -0.67
    aser
    -0.66
     Beir
    -0.65
     Chapman
    -0.64
    oresc
    -0.63
     Carm
    -0.63
    otrop
    -0.63
    POSITIVE LOGITS
    !.
    1.44
    !'
    1.43
    !
    1.39
    !,
    1.39
    !:
    1.34
    !'"
    1.23
    !"
    1.16
    !/
    1.13
    !",
    1.12
    !".
    1.12
    Activations Density 0.208%

    No Known Activations