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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. 3-RES-JB
    11. 4682
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    Explanations

    words related to specific names and locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cytok
    -0.61
     cryst
    -0.60
     sarcastic
    -0.59
     magnification
    -0.57
     pc
    -0.55
     dracon
    -0.55
     polar
    -0.54
     subp
    -0.53
     contextual
    -0.53
     ancest
    -0.53
    POSITIVE LOGITS
    ius
    0.92
    je
    0.85
    ault
    0.82
    akis
    0.82
    ovsky
    0.81
    ich
    0.81
    owski
    0.81
    ko
    0.81
    stad
    0.80
    wen
    0.80
    Activations Density 0.829%

    No Known Activations