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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. 19963
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    Explanations

    mentions of legal or government-related terms

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with significant incidents or conditions

    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
     overth
    -0.76
     favoured
    -0.75
     tink
    -0.75
     ideal
    -0.72
     ageing
    -0.68
     principle
    -0.68
     grouping
    -0.67
     footing
    -0.67
     manoeuv
    -0.65
     inactive
    -0.64
    POSITIVE LOGITS
    ³³³³
    1.25
    ³³³
    1.16
    ³³³³³³³³
    1.12
    ³³³³³³³³³³³³³³³³
    1.10
    ³³
    1.04
    posted
    0.94
    Posted
    0.94
    à©
    0.92
    Brend
    0.92
    Narr
    0.92
    Activations Density 0.162%

    No Known Activations