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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. 5137
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    Explanations

    references to sources or citations within text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of closing brackets

    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
    ĵĺ
    -0.70
    aband
    -0.69
     cradle
    -0.64
    ãĤ¤ãĥĪ
    -0.64
     dreaded
    -0.64
    ŃĶ
    -0.64
    etsy
    -0.63
    anus
    -0.62
     tremend
    -0.62
    oe
    -0.61
    POSITIVE LOGITS
     Additionally
    1.04
     However
    1.01
     Later
    0.96
     Furthermore
    0.94
     Similarly
    0.92
     Conversely
    0.90
     Interestingly
    0.90
    Additionally
    0.88
     Nevertheless
    0.88
     Afterwards
    0.88
    Activations Density 0.044%

    No Known Activations