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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. 6-RES-JB
    11. 15418
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    Explanations

    mentions of draft picks in various sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to draft picks in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STD
    -0.75
     interf
    -0.72
    igi
    -0.68
    forums
    -0.67
    blogs
    -0.66
     Reprodu
    -0.66
    isf
    -0.66
    Sea
    -0.65
    sth
    -0.65
    ranean
    -0.65
    POSITIVE LOGITS
    士
    0.81
    pocket
    0.81
     compens
    0.78
     picks
    0.77
     (#
    0.76
     Picks
    0.75
    axe
    0.75
     pick
    0.75
     Rica
    0.74
    aire
    0.70
    Activations Density 0.031%

    No Known Activations