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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. 3753
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    Explanations

    phrases related to consideration or reflection on various factors

    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
     Chimera
    -0.76
     Bounty
    -0.75
     Keeper
    -0.72
     Crimson
    -0.72
    Joined
    -0.70
    Torrent
    -0.70
     Indust
    -0.69
    Kick
    -0.68
     backer
    -0.68
     Volunteers
    -0.67
    POSITIVE LOGITS
     extrap
    1.19
     analyzing
    1.16
     analyze
    1.15
     analogy
    1.14
     conclusions
    1.12
     assumptions
    1.10
     analysis
    1.10
     causation
    1.10
     analyses
    1.09
     estimating
    1.09
    Activations Density 0.676%

    No Known Activations