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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. 10-RES-JB
    11. 9293
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    Explanations

    specific instances where someone expresses a desire or preference

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or refusal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cade
    -0.70
    icol
    -0.68
    iste
    -0.67
    issance
    -0.65
    uesday
    -0.64
    ework
    -0.64
    bridge
    -0.61
    unny
    -0.60
    Condition
    -0.60
    esan
    -0.60
    POSITIVE LOGITS
     anybody
    1.22
     anyone
    1.16
     anything
    1.08
     any
    1.00
     anymore
    0.99
     nor
    0.99
     congr
    0.94
     to
    0.90
     ANY
    0.89
     spoilers
    0.84
    Activations Density 0.077%

    No Known Activations