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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 5498
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    Explanations

    proper nouns or specific names mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "naming" and its contextual usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilit
    -0.66
    emp
    -0.63
     Approximately
    -0.62
     countered
    -0.61
    renched
    -0.61
    aft
    -0.61
    lite
    -0.61
    hang
    -0.60
    fi
    -0.59
    moderate
    -0.59
    POSITIVE LOGITS
     naming
    3.98
     names
    1.64
     branding
    1.53
    Names
    1.49
     rename
    1.47
     spelling
    1.47
     Names
    1.44
     numbering
    1.43
     name
    1.41
     mentioning
    1.39
    Activations Density 0.013%

    No Known Activations