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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. 4230
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    Explanations

    words related to technical details and information, such as transcripts, statistics, and documentation

    oai_token-act-pair · gpt-3.5-turbo
    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
    sov
    -0.77
    tein
    -0.77
    bows
    -0.75
    edin
    -0.70
    forth
    -0.68
    schild
    -0.65
    milo
    -0.62
     blat
    -0.62
    staking
    -0.62
    erb
    -0.62
    POSITIVE LOGITS
    amacare
    0.58
    LCS
    0.58
     LCS
    0.57
    ļéĨĴ
    0.57
    isode
    0.55
    ©¶æ
    0.55
    eatures
    0.55
     parted
    0.54
     Sections
    0.53
     MPEG
    0.52
    Activations Density 0.160%

    No Known Activations