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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. 14521
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    Explanations

    profane language or exclamations expressing strong emotions

    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
    EStreamFrame
    -0.73
    Joy
    -0.71
    ufact
    -0.68
    083
    -0.67
    Ĭ±
    -0.66
    Vert
    -0.63
    hig
    -0.63
    %:
    -0.62
    arer
    -0.62
    iae
    -0.60
    POSITIVE LOGITS
     happened
    0.95
     else
    0.77
     dude
    0.75
     happens
    0.74
     Happ
    0.73
     ya
    0.71
     REALLY
    0.71
    else
    0.68
     crap
    0.68
    holes
    0.65
    Activations Density 0.040%

    No Known Activations