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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. 7-RES-JB
    11. 5003
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    Explanations

    references to appearances on various television shows and interviews

    oai_token-act-pair · gpt-3.5-turbo

    mentions of well-known media appearances or interviews

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceae
    -0.71
    abiding
    -0.67
    gra
    -0.65
    idas
    -0.65
     brush
    -0.64
    acea
    -0.63
     Templ
    -0.62
    wikipedia
    -0.62
    acci
    -0.62
    ritic
    -0.62
    POSITIVE LOGITS
     interviewer
    1.21
     Tonight
    1.04
     aired
    1.02
     broadcaster
    1.02
     airs
    0.98
     broadcasts
    0.94
     broadcast
    0.94
     radio
    0.93
     CNBC
    0.93
     MSNBC
    0.93
    Activations Density 0.310%

    No Known Activations