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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. 19208
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    Explanations

    phrases related to idealistic or philosophical concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social and cultural change

    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
    chell
    -0.73
    KC
    -0.71
    assium
    -0.70
    iple
    -0.69
    USS
    -0.68
    MpServer
    -0.66
    GM
    -0.63
    iasis
    -0.62
    ANN
    -0.62
    ces
    -0.61
    POSITIVE LOGITS
     namely
    1.14
     whereas
    1.05
     albeit
    1.02
     regardless
    1.02
     especially
    0.97
     irrespective
    0.94
     lest
    0.93
     ie
    0.90
     insofar
    0.90
     but
    0.85
    Activations Density 0.459%

    No Known Activations