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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. 6-RES-JB
    11. 7900
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    Explanations

    names of political figures

    oai_token-act-pair · gpt-3.5-turbo

    completely empty sections or gaps in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    iology
    -0.91
    ivalent
    -0.85
    icans
    -0.85
    ysis
    -0.81
    iguous
    -0.76
    ienne
    -0.76
    ulous
    -0.76
    ican
    -0.76
    vier
    -0.76
    isers
    -0.75
    POSITIVE LOGITS
    pling
    0.86
     sqor
    0.77
    cha
    0.73
    oway
    0.72
    PIN
    0.70
    plings
    0.67
    eca
    0.66
    urities
    0.65
    pixel
    0.64
    OTA
    0.64
    Activations Density 0.053%

    No Known Activations