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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. 4-RES-JB
    11. 1551
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to teams and teamwork-related activities

    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
    Quantity
    -0.67
     veil
    -0.66
    vasive
    -0.63
    Gas
    -0.62
     traff
    -0.62
     stalk
    -0.62
    theless
    -0.62
    ãĤ¢ãĥ«
    -0.62
    Pic
    -0.61
     statute
    -0.61
    POSITIVE LOGITS
    hesion
    0.81
    akeru
    0.76
    eele
    0.75
    ciplinary
    0.74
    ggle
    0.71
    rollers
    0.71
    orses
    0.69
    ngth
    0.68
    mates
    0.66
    ioch
    0.66
    Activations Density 0.649%

    No Known Activations