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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. 11457
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    INDEX
    Explanations

    quotes or information attributed to sources

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sources of information or reports

    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

    No Comments

    Negative Logits
    Interstitial
    -0.86
     canvas
    -0.72
    umbnails
    -0.69
    osate
    -0.69
    uit
    -0.68
     mascot
    -0.67
    ennial
    -0.66
    heid
    -0.65
     injust
    -0.63
    urtle
    -0.63
    POSITIVE LOGITS
    Sources
    0.77
    Rum
    0.77
    elligence
    0.76
     Intelligence
    0.75
     insider
    0.75
    aji
    0.74
     intelligence
    0.74
     ISI
    0.73
     Zi
    0.72
    hai
    0.72
    Activations Density 0.332%

    No Known Activations