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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. 6-RES-JB
    11. 14602
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    Explanations

    references to large-scale objects or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to large-scale systems or phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    idges
    -0.87
    cair
    -0.80
    swick
    -0.74
    rium
    -0.73
    edin
    -0.73
    oother
    -0.72
    phis
    -0.69
    ipedia
    -0.69
    ournal
    -0.69
     Parsons
    -0.69
    POSITIVE LOGITS
     fabrication
    0.84
     deployment
    0.80
     production
    0.80
     fulfillment
    0.79
    enter
    0.76
     ecological
    0.74
     scale
    0.74
     accident
    0.74
     adoption
    0.73
     undertaking
    0.72
    Activations Density 0.026%

    No Known Activations