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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. 9505
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    INDEX
    Explanations

    mentions of feeling comfortable or being comfortable

    oai_token-act-pair · gpt-3.5-turbo

    the concept of comfort in various contexts

    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
    bard
    -0.80
    bey
    -0.79
    hex
    -0.73
    fleet
    -0.72
    grave
    -0.69
    govtrack
    -0.69
    eters
    -0.69
    alez
    -0.67
    ilee
    -0.67
    iferation
    -0.66
    POSITIVE LOGITS
    ably
    0.97
     comfortable
    0.80
     enough
    0.79
    fortable
    0.76
    ãĥ¼ãĥĨ
    0.75
     seating
    0.71
    Medium
    0.70
     +/-
    0.69
     cushion
    0.67
     breathing
    0.66
    Activations Density 0.029%

    No Known Activations