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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. 4-RES-JB
    11. 14548
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    Explanations

    phrases related to controversial topics and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating criminal behavior or actions

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

    No Comments

    Negative Logits
    iple
    -0.90
    ety
    -0.82
    raft
    -0.59
    velop
    -0.58
    aval
    -0.58
    eteen
    -0.56
    raved
    -0.56
    uit
    -0.56
    atre
    -0.54
    icro
    -0.54
    POSITIVE LOGITS
     albeit
    1.11
     namely
    1.07
     lest
    1.01
     regardless
    0.96
     thereby
    0.95
     whereas
    0.93
     aka
    0.91
     etc
    0.91
     although
    0.89
     irrespective
    0.85
    Activations Density 1.175%

    No Known Activations