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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. 7986
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    Explanations

    words related to emotions, specifically focused on heartfelt sentiments

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional experiences and conditions, especially those related to the heart

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Sigma
    -0.69
     newsp
    -0.68
    dq
    -0.66
    VICE
    -0.64
     Motorsport
    -0.63
     unauthorized
    -0.62
     Sorceress
    -0.61
     Sessions
    -0.61
    Ń·
    -0.60
    committee
    -0.60
    POSITIVE LOGITS
    strings
    1.22
    warming
    1.19
    beat
    1.11
    rend
    1.07
    broken
    1.03
    burn
    1.00
    felt
    0.98
    worm
    0.91
    bow
    0.89
    heart
    0.88
    Activations Density 0.039%

    No Known Activations