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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. 8-RES-JB
    11. 12888
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    Explanations

    phrases related to the action of dispatching or sending out

    oai_token-act-pair · gpt-3.5-turbo

    references to "disp" forms, indicating a focus on discussions about dispensing or distribution of items or substances

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Magikarp
    -0.81
    Reviewer
    -0.74
    worthy
    -0.69
     actionGroup
    -0.66
    sen
    -0.65
    GER
    -0.64
    WER
    -0.64
    footed
    -0.64
    GO
    -0.63
     Ashes
    -0.63
    POSITIVE LOGITS
    ersion
    1.39
    ossession
    1.20
    assion
    1.19
    atching
    1.10
    ersive
    1.05
    atches
    0.98
    ensed
    0.97
    avour
    0.95
    awn
    0.94
    ingu
    0.94
    Activations Density 0.028%

    No Known Activations