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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. 10-RES-JB
    11. 8364
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    Explanations

    instances where someone or something becomes significant or well-known in a particular context

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ffen
    -0.77
    ingham
    -0.66
     goodness
    -0.65
     existed
    -0.65
    >]
    -0.63
     survived
    -0.63
     balances
    -0.62
     comprised
    -0.61
     ups
    -0.60
     shouldn
    -0.59
    POSITIVE LOGITS
     scapego
    1.11
     fodder
    0.88
     shorthand
    0.80
     martyr
    0.80
     focal
    0.79
     overnight
    0.79
     sensation
    0.77
     obsession
    0.76
     fixture
    0.76
     meme
    0.76
    Activations Density 0.167%

    No Known Activations