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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. 14326
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    Explanations

    phrases related to arguments or debates

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing negation or clarification of misconceptions

    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
    VIS
    -0.68
    Offline
    -0.67
     Became
    -0.66
    IER
    -0.66
    USS
    -0.62
    VERTISEMENT
    -0.60
    RESULTS
    -0.59
    WIND
    -0.59
    ss
    -0.59
    eni
    -0.59
    POSITIVE LOGITS
     nor
    1.60
    nor
    1.17
     Nor
    1.06
     Rather
    1.04
     anymore
    0.96
     Nope
    0.91
     but
    0.90
    although
    0.89
    Rather
    0.88
     though
    0.83
    Activations Density 0.165%

    No Known Activations