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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. 5196
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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
    igslist
    -0.59
    ibaba
    -0.59
    illes
    -0.59
     reciproc
    -0.57
     adjustment
    -0.56
    lihood
    -0.56
     therm
    -0.54
    clair
    -0.54
    condition
    -0.53
    axter
    -0.53
    POSITIVE LOGITS
     Mechdragon
    0.67
    é»Ĵ
    0.63
    osion
    0.58
    IVE
    0.57
    esi
    0.57
    ombies
    0.57
    iphate
    0.56
     perpetually
    0.55
    Gra
    0.55
     Ops
    0.55
    Activations Density 0.069%

    No Known Activations