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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. 7-RES-JB
    11. 2272
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    INDEX
    Explanations

    phrases related to task completion or accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rb
    -0.80
    meet
    -0.77
    fell
    -0.73
    hower
    -0.72
    oused
    -0.71
    omic
    -0.70
    ÃŃs
    -0.70
    uga
    -0.67
    opa
    -0.66
    byter
    -0.65
    POSITIVE LOGITS
     etc
    1.20
     assorted
    1.17
    etc
    0.99
     blah
    0.83
     finally
    0.81
     possibly
    0.78
     ect
    0.75
     downright
    0.73
     perhaps
    0.72
     occasional
    0.71
    Activations Density 0.290%

    No Known Activations