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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. 2453
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    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
    aunder
    -0.89
    hew
    -0.89
    DragonMagazine
    -0.74
    nings
    -0.71
    izard
    -0.68
    clerosis
    -0.66
    isphere
    -0.66
    ãĥ¼ãĥ³
    -0.65
    stad
    -0.65
    panic
    -0.65
    POSITIVE LOGITS
    lessly
    0.87
     Integrity
    0.84
     anonymity
    0.79
     freedom
    0.79
     individuality
    0.77
     aesthetics
    0.76
     honesty
    0.76
     liberty
    0.76
    ably
    0.76
     symmetry
    0.75
    Activations Density 0.158%

    No Known Activations