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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. 10-RES-JB
    11. 12262
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -0.71
     Verb
    -0.65
    chell
    -0.60
     Norn
    -0.60
     Chinatown
    -0.59
    ESCO
    -0.59
    à¹
    -0.58
     CCTV
    -0.58
     Bourbon
    -0.57
    urt
    -0.56
    POSITIVE LOGITS
    ists
    1.13
     inches
    1.02
    istics
    0.88
    ist
    0.87
    ista
    0.87
    ical
    0.84
    isting
    0.82
    antry
    0.81
     headers
    0.78
    ocations
    0.77
    Activations Density 0.017%

    No Known Activations