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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. 1-RES-JB
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    Explanations

    the name "Ari" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ari" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertisement
    -0.83
    ding
    -0.79
    soDeliveryDate
    -0.79
    mitt
    -0.76
    paralleled
    -0.75
    perature
    -0.74
    SIGN
    -0.72
    paced
    -0.72
    eners
    -0.72
    committee
    -0.71
    POSITIVE LOGITS
     Ari
    1.18
    Ari
    0.88
    zona
    0.83
    jit
    0.81
    zon
    0.81
    Lens
    0.75
    anna
    0.74
    agons
    0.72
    tera
    0.71
    zeb
    0.70
    Activations Density 0.008%

    No Known Activations