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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. 14523
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    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
    zanne
    -0.72
     metre
    -0.63
     isEnabled
    -0.59
     desks
    -0.59
     fend
    -0.57
     Parables
    -0.57
     whit
    -0.56
    inventoryQuantity
    -0.56
     Cosponsors
    -0.55
     Notting
    -0.55
    POSITIVE LOGITS
    lihood
    0.80
     plag
    0.73
     emanating
    0.67
    NN
    0.66
    hes
    0.66
    ļé
    0.65
     forth
    0.63
     upon
    0.63
    ŃĶ
    0.62
     arising
    0.62
    Activations Density 0.258%

    No Known Activations