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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. 11-RES-JB
    11. 16469
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    Explanations

    statements expressing regret or apology

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verbs "was" and "were" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.62
    Stre
    -0.60
    Duration
    -0.60
    oyle
    -0.59
     Extend
    -0.59
    ipher
    -0.58
    ottage
    -0.57
    ossal
    -0.57
    oidal
    -0.57
    ties
    -0.56
    POSITIVE LOGITS
    hes
    1.41
    wolves
    1.19
     born
    1.08
     misled
    1.02
    wolf
    1.02
     robbed
    1.02
     warned
    0.98
     originally
    0.94
     bitten
    0.93
     fooled
    0.92
    Activations Density 0.264%

    No Known Activations