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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. 3548
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    Explanations

    words related to strong emotions or intense actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotional reactions or actions

    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
     complying
    -0.74
     serving
    -0.70
     emitting
    -0.65
     securing
    -0.65
     obtaining
    -0.63
     exhibiting
    -0.63
     protecting
    -0.63
     exiting
    -0.63
     injecting
    -0.62
     dealing
    -0.62
    POSITIVE LOGITS
    wrote
    1.35
    igrated
    1.35
    ounced
    1.30
    ked
    1.29
    ided
    1.29
    overed
    1.25
    elled
    1.25
    ulated
    1.24
    ed
    1.24
    icipated
    1.23
    Activations Density 0.436%

    No Known Activations