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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. 4823
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    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
    manship
    -0.84
     Osw
    -0.67
    SPONSORED
    -0.63
    ses
    -0.62
     NAD
    -0.62
    Reviewer
    -0.59
    interstitial
    -0.59
     admission
    -0.59
     examiner
    -0.58
     matter
    -0.58
    POSITIVE LOGITS
    ruct
    1.53
    roying
    1.46
    itute
    1.37
    ruction
    1.29
    inations
    1.20
    ination
    1.19
    igmat
    1.19
    itution
    1.13
    iny
    1.06
    ructure
    1.04
    Activations Density 0.023%

    No Known Activations