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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12137
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    Explanations

    the word "comfortable" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to feelings of comfort and comfort levels in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hex
    -0.86
    bey
    -0.80
    fleet
    -0.77
    ework
    -0.73
    bard
    -0.73
    hun
    -0.70
    eters
    -0.70
    hunter
    -0.67
    etheus
    -0.66
    yss
    -0.66
    POSITIVE LOGITS
    ably
    0.86
     enough
    0.84
     comfortable
    0.82
     cushion
    0.73
     margins
    0.73
     Resident
    0.71
    fortable
    0.71
    ãĥ¼ãĥĨ
    0.69
     accommodations
    0.67
     intervals
    0.67
    Activations Density 0.014%

    No Known Activations