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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. 6-RES-JB
    11. 13656
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    Explanations

    references to specific groups of individuals involved in various events

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement and groups of people involved in various incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.83
    omorph
    -0.68
    Temperature
    -0.68
    Leader
    -0.67
    à¤
    -0.66
    ebook
    -0.64
     Regulatory
    -0.63
    ahime
    -0.62
    Natural
    -0.61
    ãĤ¦
    -0.60
    POSITIVE LOGITS
     apiece
    0.97
     boarded
    0.86
     whom
    0.85
     who
    0.85
     vying
    0.84
     accused
    0.81
     crammed
    0.80
     resigned
    0.79
    afia
    0.77
     implicated
    0.77
    Activations Density 0.240%

    No Known Activations