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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. 24230
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    INDEX
    Explanations

    the word "plan" or variation of it

    oai_token-act-pair · gpt-3.5-turbo

    the word "plans" and its variations, indicating future intentions or actions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    avery
    -0.68
    aws
    -0.65
    illian
    -0.64
    int
    -0.58
    weed
    -0.57
    ixel
    -0.56
     Lack
    -0.55
    bour
    -0.55
    inas
    -0.54
    itaire
    -0.54
    POSITIVE LOGITS
     Parenthood
    0.96
     accordingly
    0.84
    llor
    0.80
    ¶
    0.74
    etary
    0.71
     ahead
    0.70
    tera
    0.70
     onward
    0.68
     to
    0.68
    dule
    0.67
    Activations Density 0.055%

    No Known Activations