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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. 6904
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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
    ĪĴ
    -0.86
    wcsstore
    -0.78
    cffff
    -0.77
    assi
    -0.71
    £ı
    -0.71
    erity
    -0.70
    pecially
    -0.68
    ĺħ
    -0.67
    ¶ħ
    -0.66
    haps
    -0.66
    POSITIVE LOGITS
     unanswered
    0.90
     intact
    0.87
     unsolved
    0.81
     scratching
    0.76
     lingering
    0.75
     unresolved
    0.75
     untouched
    0.75
    awed
    0.71
     alive
    0.69
     unsett
    0.68
    Activations Density 0.280%

    No Known Activations