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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. 8771
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    Explanations

    phrases related to criminal activities, particularly physical assault and robbery

    oai_token-act-pair · gpt-3.5-turbo

    references to "mug" and related contexts such as ATM and arcade

    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
    Not in Any Lists

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    Negative Logits
    hood
    -0.80
    entially
    -0.76
    itt
    -0.75
    20439
    -0.74
    bard
    -0.73
    child
    -0.73
    ergy
    -0.72
     Emin
    -0.72
    quartered
    -0.71
    wig
    -0.68
    POSITIVE LOGITS
    ista
    0.89
    oca
    0.82
     Libre
    0.77
     Haram
    0.72
     kios
    0.71
     Genius
    0.71
    istas
    0.69
     selfies
    0.68
     Doodle
    0.68
    emonium
    0.68
    Activations Density 0.069%

    No Known Activations