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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. 9-RES-JB
    11. 17233
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    Explanations

    details about individuals, particularly physical descriptions and actions

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of young males, often in a criminal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    livion
    -0.77
     truths
    -0.69
     liberated
    -0.68
    onics
    -0.68
    iscover
    -0.67
    lished
    -0.66
    topia
    -0.65
     recap
    -0.65
     consequ
    -0.65
    llan
    -0.65
    POSITIVE LOGITS
     Caucasian
    1.10
     juveniles
    1.00
     Caucas
    0.93
    Hispanic
    0.86
     bearded
    0.84
     Hispanic
    0.84
    aucas
    0.83
     juvenile
    0.80
    shapeshifter
    0.79
     dressed
    0.78
    Activations Density 0.427%

    No Known Activations