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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. 2549
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    Explanations

    numeric values related to financial transactions or amounts, specifically focusing on millions and thousands

    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
     insofar
    -0.67
    ateurs
    -0.65
     :(
    -0.63
    ications
    -0.61
    soType
    -0.60
     swall
    -0.60
    intend
    -0.59
    onga
    -0.58
    isSpecialOrderable
    -0.58
    tests
    -0.58
    POSITIVE LOGITS
     billion
    1.14
     million
    1.11
    million
    1.06
    billion
    1.02
    -$
    0.98
     Billion
    0.96
     Million
    0.85
     trillion
    0.84
    ा
    0.82
     bailout
    0.77
    Activations Density 0.079%

    No Known Activations