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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. 2476
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    Explanations

    terms related to economics and business

    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
    $.
    -0.72
    selves
    -0.71
    Eva
    -0.66
    ecause
    -0.65
    +.
    -0.64
    .[
    -0.62
    instead
    -0.59
    TPS
    -0.58
    itored
    -0.57
     theirs
    -0.57
    POSITIVE LOGITS
     consists
    0.81
     dilemma
    0.81
     begins
    0.75
     shortage
    0.74
     comprises
    0.73
     continues
    0.73
     awoke
    0.72
     isn
    0.67
    iest
    0.67
     is
    0.67
    Activations Density 0.581%

    No Known Activations