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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
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    Explanations

    the number 75

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the number 75

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    yang
    -0.82
     GOODMAN
    -0.78
    eering
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    hran
    -0.75
    çīĪ
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    gments
    -0.72
    ezvous
    -0.71
    gie
    -0.68
    chid
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     sneaky
    -0.67
    POSITIVE LOGITS
     ILCS
    1.27
    ength
    0.96
    75
    0.90
    80
    0.85
    680
    0.84
    ULT
    0.82
    %:
    0.80
    475
    0.79
    875
    0.79
    pmwiki
    0.79
    Activations Density 0.022%

    No Known Activations