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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. 17807
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    Explanations

    interviews or mentions of interviews with people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of interviews

    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
    math
    -0.76
    blue
    -0.71
    mil
    -0.70
    ciplinary
    -0.69
    axy
    -0.68
    hover
    -0.64
     symbolic
    -0.64
     Haram
    -0.63
    rol
    -0.62
    finger
    -0.62
    POSITIVE LOGITS
    ees
    1.24
    ee
    0.95
     interviews
    0.90
     interview
    0.90
     transcripts
    0.89
     conducted
    0.88
     subjects
    0.87
     Transcript
    0.83
    ioned
    0.82
     aired
    0.77
    Activations Density 0.037%

    No Known Activations