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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. 23736
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    Explanations

    plural nouns

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the letter 's' in various contexts

    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
    agos
    -0.67
    esp
    -0.65
     gardens
    -0.63
     trusts
    -0.61
    izzard
    -0.60
    CVE
    -0.60
    Wars
    -0.60
    esm
    -0.59
    ERN
    -0.59
    olls
    -0.59
    POSITIVE LOGITS
     whats
    0.91
    omething
    0.79
     another
    0.76
     summarize
    0.75
     what
    0.75
     hoping
    0.74
     how
    0.74
     recap
    0.73
    ibaba
    0.73
    forth
    0.71
    Activations Density 0.025%

    No Known Activations