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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. 11760
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    Explanations

    terms related to consumer topics

    oai_token-act-pair · gpt-3.5-turbo

    references to consumers and their experiences or impacts

    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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    Negative Logits
     Anthropology
    -0.68
     Skull
    -0.63
     Shack
    -0.60
     Offic
    -0.60
     Truck
    -0.59
    SourceFile
    -0.59
     Genocide
    -0.59
     Ops
    -0.59
     Soccer
    -0.59
     Canaver
    -0.58
    POSITIVE LOGITS
    hip
    1.57
    erv
    1.20
    hips
    1.19
    pace
    1.17
    umers
    1.11
    cript
    1.00
    '
    0.97
    paces
    0.94
    ettings
    0.91
    hare
    0.90
    Activations Density 0.170%

    No Known Activations