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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. 16005
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    Explanations

    personal traits or characteristics of individuals, especially related to appearance or behavior

    oai_token-act-pair · gpt-3.5-turbo

    elements related to complex character traits and emotional experiences

    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
    Sav
    -0.64
    yss
    -0.60
    idth
    -0.60
     stewards
    -0.58
    imar
    -0.57
    ariat
    -0.54
     Panama
    -0.54
    Americ
    -0.53
    olon
    -0.53
    odore
    -0.53
    POSITIVE LOGITS
    *.
    1.16
    !.
    1.00
    .*
    0.95
    .(
    0.91
     ;)
    0.91
    .[
    0.89
     ðŁĻĤ
    0.89
    +.
    0.88
     haha
    0.88
     thanks
    0.88
    Activations Density 0.879%

    No Known Activations