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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. 109
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    INDEX
    Explanations

    phrases related to planning or scheduling tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating capability or potential actions

    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
     Seeking
    -0.70
    DERR
    -0.65
    accompan
    -0.64
     Strait
    -0.64
     surn
    -0.62
    ccording
    -0.61
     Eag
    -0.60
    Īè
    -0.60
     Cosponsors
    -0.58
    á½
    -0.57
    POSITIVE LOGITS
    't
    1.36
     afford
    1.14
     confidently
    1.11
     safely
    1.10
     concentrate
    1.03
     easily
    1.03
     comfortably
    0.99
     feas
    0.96
     proceed
    0.92
     enjoy
    0.88
    Activations Density 0.131%

    No Known Activations