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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 7698
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    INDEX
    Explanations

    mentions of specific names or topics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to animal enclosure incidents and judicial matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Choi
    -0.81
     epigen
    -0.71
    ynasty
    -0.70
     Rollins
    -0.68
     Roche
    -0.67
     Rank
    -0.65
     Idol
    -0.65
    acci
    -0.64
    rav
    -0.63
     Kasich
    -0.63
    POSITIVE LOGITS
     jo
    2.62
     enclosure
    1.44
    icial
    1.22
     Fo
    1.21
     commencement
    1.12
     perimeter
    1.08
     sill
    1.05
    ilda
    1.05
     breakout
    0.99
     twe
    0.96
    Activations Density 0.075%

    No Known Activations