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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. 6131
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    Explanations

    specific phrases that likely refer to different types of articles, potentially related to politics, healthcare, or business

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Philadelphia and related references

    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
    eering
    -0.96
    eers
    -0.84
    eer
    -0.78
    hof
    -0.71
    fitting
    -0.68
    ged
    -0.68
     bloc
    -0.68
    fitted
    -0.67
    vers
    -0.63
    ãĥ¼ãĤ¯
    -0.62
    POSITIVE LOGITS
    OTO
    1.15
    OTOS
    1.10
    ysics
    1.00
    ASE
    1.00
    YS
    0.98
    antom
    0.98
    ONE
    0.89
    ĩ
    0.89
    OGR
    0.87
    oenix
    0.85
    Activations Density 0.032%

    No Known Activations