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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    phrases related to feeling comfortable or uncomfortable in different situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "comfortable" and related phrases discussing comfort levels

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

    No Comments

    Negative Logits
    bey
    -0.83
    fleet
    -0.82
    hex
    -0.77
    hun
    -0.72
    href
    -0.71
    Ly
    -0.71
    bard
    -0.69
    eters
    -0.69
    GBT
    -0.69
    etheus
    -0.68
    POSITIVE LOGITS
     comfortable
    0.91
     enough
    0.89
    ably
    0.84
    fortable
    0.74
     discomfort
    0.70
     accommodations
    0.69
     intervals
    0.69
     uncomfortable
    0.68
    ãĥ¼ãĥĨ
    0.67
     mids
    0.67
    Activations Density 0.014%

    No Known Activations