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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. 7-RES-JB
    11. 9649
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    Explanations

    unique or uncommon descriptors

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.73
     rushes
    -0.70
    />
    -0.70
     WRITE
    -0.69
     viz
    -0.67
     outweigh
    -0.66
    .–
    -0.65
     unsuccessfully
    -0.62
    ?".
    -0.62
    ults
    -0.62
    POSITIVE LOGITS
     proud
    0.92
     underrated
    0.76
     fascinating
    0.73
     pleased
    0.73
     saddened
    0.73
     perplex
    0.72
    icent
    0.71
    igmatic
    0.70
     delighted
    0.69
    itect
    0.69
    Activations Density 0.521%

    No Known Activations