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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. 9-RES-JB
    11. 6093
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    Explanations

    academic paper references and related metadata

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific documentation and metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nib
    -0.70
     Winner
    -0.68
     Belt
    -0.66
     Fountain
    -0.65
     [+]
    -0.63
     Sheen
    -0.61
     Fired
    -0.61
     Holding
    -0.61
     casting
    -0.60
     Franch
    -0.60
    POSITIVE LOGITS
    psy
    0.86
    036
    0.81
    pub
    0.81
    pdf
    0.81
    doi
    0.80
    080
    0.77
    é¾įå
    0.77
    Phys
    0.77
    phys
    0.77
    chapter
    0.76
    Activations Density 0.034%

    No Known Activations