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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. 7-RES-JB
    11. 8012
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    Explanations

    phrases introducing additional information or contrasting ideas

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparison or additional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    body
    -0.80
    ruction
    -0.76
    ona
    -0.74
     guiActiveUnfocused
    -0.71
    ´
    -0.70
    anmar
    -0.69
    opter
    -0.69
    owe
    -0.69
    igmatic
    -0.68
    taboola
    -0.68
    POSITIVE LOGITS
     besides
    0.74
     moreover
    0.73
     THERE
    0.67
     though
    0.66
     despite
    0.65
     Mehran
    0.63
     secondly
    0.63
     unlike
    0.62
     Kejriwal
    0.62
     there
    0.62
    Activations Density 0.157%

    No Known Activations