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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. 3643
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    Explanations

    phrases related to societal issues or negative consequences

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to societal issues and challenges

    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
    ¶æ
    -0.67
    ãĥ¯ãĥ³
    -0.67
    DCS
    -0.66
    odge
    -0.65
    edIn
    -0.62
    aldi
    -0.61
    »Ĵ
    -0.61
    ãĤ¬
    -0.60
    °
    -0.60
    arthed
    -0.58
    POSITIVE LOGITS
     whereas
    1.17
     differently
    1.14
     regardless
    0.95
     because
    0.94
     irrespective
    0.93
     insofar
    0.92
     twice
    0.92
     alot
    0.89
     anyways
    0.85
     anyway
    0.84
    Activations Density 1.022%

    No Known Activations