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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. 5760
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    Explanations

    adjectives related to correctness or appropriate behavior

    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
    oleon
    -0.67
     sadly
    -0.67
    Hig
    -0.65
    âĹı
    -0.63
     Pione
    -0.63
    ires
    -0.61
     unexpectedly
    -0.61
     wildly
    -0.61
    orama
    -0.60
    _>
    -0.59
    POSITIVE LOGITS
    tarian
    1.39
    tarians
    1.02
     functioning
    0.97
    bred
    0.94
     sized
    0.93
     noun
    0.89
     guiActiveUn
    0.88
     etiquette
    0.83
    nsic
    0.83
     disposal
    0.82
    Activations Density 0.045%

    No Known Activations