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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. 11370
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    INDEX
    Explanations

    descriptive words related to internal sensations or reactions, often negative in nature

    oai_token-act-pair · gpt-3.5-turbo

    references to strong emotional or visceral reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    hips
    -0.89
    eton
    -0.74
     Stephenson
    -0.72
     Aad
    -0.70
     Chains
    -0.67
    hare
    -0.66
     Izan
    -0.65
    hift
    -0.64
     Naz
    -0.64
    cale
    -0.63
    POSITIVE LOGITS
    ted
    1.39
    ierrez
    1.28
    ting
    1.21
    ters
    1.21
    tering
    1.08
    tered
    1.05
    warts
    0.96
    terson
    0.94
     microbiota
    0.94
    sy
    0.92
    Activations Density 0.025%

    No Known Activations