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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. 12557
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to animal species and legal terminology

    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
    REDACTED
    -0.71
    lands
    -0.70
    ly
    -0.68
    anwhile
    -0.66
    hips
    -0.65
    LY
    -0.63
    lander
    -0.62
     blasting
    -0.61
    eering
    -0.61
    ing
    -0.60
    POSITIVE LOGITS
    ential
    0.94
    yth
    0.89
    atch
    0.87
    cious
    0.85
    ancies
    0.85
    enty
    0.85
    atable
    0.85
    pton
    0.84
    ishable
    0.81
    ogle
    0.80
    Activations Density 0.037%

    No Known Activations