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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. 11657
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    INDEX
    Explanations

    mentions of companies or corporations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific company

    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
     Lanka
    -0.80
    blance
    -0.67
    noon
    -0.67
    artisan
    -0.66
     Lect
    -0.65
    sbm
    -0.65
     Consent
    -0.65
    UCT
    -0.65
     Voy
    -0.64
     Assignment
    -0.64
    POSITIVE LOGITS
    's
    0.91
     opted
    0.90
     itself
    0.83
     intends
    0.83
     hoped
    0.80
     succeeded
    0.78
     struggled
    0.78
     acknowledged
    0.76
     declined
    0.76
     vowed
    0.76
    Activations Density 0.226%

    No Known Activations