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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. 12078
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    Explanations

    exceptions to rules or norms

    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
    DCS
    -0.70
     destro
    -0.68
    MT
    -0.67
    ching
    -0.66
     misinformation
    -0.59
    Progress
    -0.59
     opio
    -0.59
     pestic
    -0.59
    ched
    -0.59
    Cho
    -0.58
    POSITIVE LOGITS
    ĸļ
    0.98
    ional
    0.91
    arily
    0.84
    als
    0.84
    abl
    0.80
     exception
    0.78
    aux
    0.78
    ality
    0.78
    perty
    0.77
     exceptions
    0.77
    Activations Density 0.031%

    No Known Activations