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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. 1-RES-JB
    11. 13445
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    Explanations

    1. Details about software and technology. 2. Instructions or explanations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conditions that enable or influence performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Talks
    -0.83
     Cosponsors
    -0.72
     Lauder
    -0.72
     Transcript
    -0.69
     Prosecut
    -0.69
     Journalism
    -0.68
     Rehab
    -0.66
     Racial
    -0.66
     Tow
    -0.65
     Faul
    -0.65
    POSITIVE LOGITS
    omorphic
    0.75
     prett
    0.74
    Ïī
    0.70
    agnetic
    0.68
    endif
    0.66
    hop
    0.65
     yours
    0.65
     linear
    0.64
    inki
    0.64
     "+
    0.64
    Activations Density 3.966%

    No Known Activations