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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. 11-RES-JB
    11. 23027
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    Explanations

    words related to urgent or critical situations where immediate action is necessary

    oai_token-act-pair · gpt-3.5-turbo

    expressions of urgent need or desperation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arthed
    -0.81
    agree
    -0.76
    rats
    -0.73
    ositories
    -0.73
    lance
    -0.71
    roma
    -0.71
    aeus
    -0.66
    nesota
    -0.65
    gang
    -0.63
     uniformly
    -0.62
    POSITIVE LOGITS
     need
    1.17
     necessity
    1.09
     NEED
    1.07
    need
    1.04
    needed
    1.04
     needed
    1.00
     pleas
    1.00
     Need
    0.99
     plea
    0.96
     desperate
    0.95
    Activations Density 0.082%

    No Known Activations