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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. 9-RES-JB
    11. 1914
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    Explanations

    phrases related to accomplishing tasks or decisions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    strate
    -0.73
    wr
    -0.66
    ufact
    -0.65
    Cur
    -0.64
    Style
    -0.64
     exting
    -0.62
     greeted
    -0.61
    tions
    -0.60
    tion
    -0.59
    epad
    -0.59
    POSITIVE LOGITS
     slightest
    1.10
     mistake
    1.09
     leap
    1.01
     pilgrimage
    0.99
     distinction
    0.96
     same
    0.95
     decision
    0.94
     rounds
    0.94
     transition
    0.94
     difference
    0.91
    Activations Density 0.038%

    No Known Activations