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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. 9070
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    oai_token-act-pair · gpt-3.5-turbo

    topics related to economics and social issues

    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
    amera
    -0.63
    MpServer
    -0.62
    Lear
    -0.62
    IRC
    -0.60
     Cosponsors
    -0.59
    lez
    -0.59
     voic
    -0.58
     whistlebl
    -0.57
    OND
    -0.57
    OLOG
    -0.56
    POSITIVE LOGITS
     etc
    0.93
     respectively
    0.86
     whereas
    0.83
     coupled
    0.80
     Secondly
    0.75
     irrespective
    0.75
    ,...
    0.73
     plus
    0.72
     whilst
    0.71
    ;
    0.70
    Activations Density 0.782%

    No Known Activations