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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. 3-RES-JB
    6. 7442
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    Explanations

    words related to identifying or locating specific details or points

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to identifying or determining specific information or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perty
    -0.82
    RAW
    -0.72
    wife
    -0.71
    rentice
    -0.70
    annis
    -0.70
    egal
    -0.69
    wives
    -0.68
    boys
    -0.67
    tha
    -0.67
    ammy
    -0.67
    POSITIVE LOGITS
     pinpoint
    1.25
    ibly
    0.88
    pell
    0.79
    ãĤ©
    0.75
    pelled
    0.75
    ilated
    0.71
    PsyNetMessage
    0.71
     accuracy
    0.70
    pelling
    0.70
     pigeon
    0.70
    Activations Density 0.016%

    No Known Activations