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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. 24467
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    Explanations

    names of individuals involved in directing, producing, writing, or co-writing films

    oai_token-act-pair · gpt-3.5-turbo

    terms related to directing and producing in film and television

    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
     leth
    -0.69
    bos
    -0.68
     burden
    -0.66
     fung
    -0.65
    ppings
    -0.65
    erm
    -0.64
     deductible
    -0.63
    ening
    -0.62
    hene
    -0.61
    Enlarge
    -0.60
    POSITIVE LOGITS
    projects
    0.83
     Cabin
    0.68
     Surv
    0.67
    ĺħ
    0.65
    ascript
    0.65
    RECT
    0.64
    enture
    0.63
     Corona
    0.62
    ufact
    0.62
     Annotations
    0.62
    Activations Density 0.185%

    No Known Activations