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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. 1-RES-JB
    11. 2743
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    Explanations

    references to exhibitions or displays

    oai_token-act-pair · gpt-3.5-turbo

    references to exhibitions or displays

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srf
    -0.73
    rol
    -0.72
    unch
    -0.71
    apo
    -0.70
    pop
    -0.69
    etheless
    -0.68
    leans
    -0.67
    nington
    -0.67
    shaw
    -0.67
     payday
    -0.66
    POSITIVE LOGITS
     exhibits
    1.41
     exhibit
    1.24
    ĸļ
    1.09
     Exhibit
    1.08
     displays
    0.88
     exhibited
    0.87
    artifacts
    0.87
     exhibitions
    0.84
    emonium
    0.82
     slides
    0.78
    Activations Density 0.006%

    No Known Activations