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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1431
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    Explanations

    mentions of television network programming schedule or promotions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "on" and variations of the word "to"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rebirth
    -0.62
     blot
    -0.62
     Paran
    -0.61
     intervening
    -0.60
     psychotic
    -0.58
    ĪĴ
    -0.58
     mete
    -0.57
     Crimes
    -0.56
     Jericho
    -0.56
     incent
    -0.56
    POSITIVE LOGITS
    merce
    0.87
    opot
    0.79
    ĸļ
    0.77
    hing
    0.74
    umo
    0.71
    ouched
    0.70
    ulo
    0.70
    *=-
    0.70
    erman
    0.70
    ulum
    0.70
    Activations Density 0.063%

    No Known Activations