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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. 4306
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the word "from" 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
    ascript
    -0.78
    faced
    -0.74
    perty
    -0.72
    ocene
    -0.71
    isphere
    -0.71
    lied
    -0.71
    ratulations
    -0.70
    emetery
    -0.70
    isec
    -0.69
    sylv
    -0.68
    POSITIVE LOGITS
     afar
    1.07
     whence
    0.84
     scratch
    0.76
     thence
    0.73
     abroad
    0.73
     Wow
    0.68
     Rav
    0.67
     inside
    0.67
     Universe
    0.65
     ASUS
    0.62
    Activations Density 0.077%

    No Known Activations