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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. 2824
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    Explanations

    questions indicating uncertainty or seeking clarification on specific topics

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases or inquiries

    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
    IOR
    -0.68
     Feld
    -0.66
    Library
    -0.61
    lif
    -0.60
    kefeller
    -0.58
     Flavoring
    -0.58
    jab
    -0.56
    abiding
    -0.54
    nesday
    -0.54
    POL
    -0.54
    POSITIVE LOGITS
    ,...
    0.75
    ,
    0.74
    ommel
    0.65
    odi
    0.64
     dstg
    0.63
     why
    0.62
    reshold
    0.61
     inclined
    0.60
    .,
    0.59
    ummies
    0.59
    Activations Density 0.057%

    No Known Activations