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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. 12145
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    Explanations

    words related to specific physical characteristics or attributes

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of various characters and their attributes in a narrative context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     GOODMAN
    -0.68
     solitary
    -0.56
    TPPStreamerBot
    -0.55
     )]
    -0.54
     sidx
    -0.52
     Insight
    -0.50
     faulty
    -0.50
     mathemat
    -0.49
    é¾į
    -0.49
    hematically
    -0.47
    POSITIVE LOGITS
     sandwic
    0.67
    aments
    0.63
    ahime
    0.62
    stros
    0.62
     awaits
    0.60
    smanship
    0.57
    vironments
    0.55
     attRot
    0.54
     spew
    0.54
     featuring
    0.53
    Activations Density 0.791%

    No Known Activations