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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. 14002
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    Explanations

    occurrences of specific named entities or technical terms related to a specific industry

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to organizational roles and functions within various contexts

    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
    solete
    -0.67
    pload
    -0.66
    lux
    -0.65
    romy
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    rake
    -0.62
    steel
    -0.60
    Drop
    -0.60
    Secure
    -0.60
    £ı
    -0.59
    Lv
    -0.59
    POSITIVE LOGITS
    matically
    0.74
    ciation
    0.70
    ioned
    0.66
    lessly
    0.64
    ALLY
    0.61
    ifies
    0.61
    imately
    0.60
     Prix
    0.60
     identifier
    0.59
    ently
    0.58
    Activations Density 0.582%

    No Known Activations