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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. 4-RES-JB
    11. 22267
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    Explanations

    specific mentions of the word "channel"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "channel" in various contexts

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

    No Comments

    Negative Logits
    berman
    -0.74
    gets
    -0.67
    hiro
    -0.67
     Raiders
    -0.66
    ourke
    -0.64
     McCl
    -0.64
     Hamp
    -0.63
     Kear
    -0.62
    iqueness
    -0.62
    emale
    -0.61
    POSITIVE LOGITS
     channels
    0.96
     channel
    0.96
    Channel
    0.83
    lain
    0.82
    izoph
    0.73
    Mask
    0.70
    channel
    0.70
    ting
    0.70
     blockers
    0.68
     div
    0.68
    Activations Density 0.009%

    No Known Activations