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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. 11-RES-JB
    11. 10233
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    Explanations

    terminology related to the target audience or viewers

    oai_token-act-pair · gpt-3.5-turbo

    references to an audience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    idy
    -0.65
    empt
    -0.65
     Baker
    -0.64
    imov
    -0.63
    borg
    -0.63
     Scot
    -0.63
    SB
    -0.61
    abases
    -0.61
    loo
    -0.59
    phalt
    -0.59
    POSITIVE LOGITS
     member
    1.08
     members
    1.03
    members
    0.93
     audience
    0.92
     tuning
    0.91
     participation
    0.91
     receptive
    0.86
     surrogate
    0.85
     tuned
    0.84
    member
    0.84
    Activations Density 0.054%

    No Known Activations