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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. 10-RES-JB
    11. 4461
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    confirmations or reassurances

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.81
    erning
    -0.73
     Flavoring
    -0.72
    PHOTOS
    -0.71
    ertodd
    -0.70
    ixels
    -0.68
    MAP
    -0.67
     envision
    -0.67
    éĹĺ
    -0.64
    racuse
    -0.63
    POSITIVE LOGITS
     happening
    1.25
     yours
    1.23
     raining
    1.19
     okay
    1.18
     gonna
    1.13
     ours
    1.12
     alright
    1.10
     ok
    1.07
     done
    1.00
     hers
    1.00
    Activations Density 0.279%

    No Known Activations