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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. 8-RES-JB
    11. 15123
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of commas throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    SourceFile
    -0.65
    ories
    -0.65
    ,
    -0.62
    RM
    -0.62
    Actor
    -0.60
    ew
    -0.60
     (>
    -0.60
    rones
    -0.59
    OW
    -0.58
    NECT
    -0.58
    POSITIVE LOGITS
    uct
    0.63
     tacit
    0.63
    uana
    0.63
    utenberg
    0.60
    idth
    0.59
     somew
    0.58
     diminishing
    0.57
    ilib
    0.56
     destro
    0.56
    decl
    0.55
    Activations Density 0.145%

    No Known Activations