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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. 6-RES-JB
    11. 18893
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    Explanations

    phrases related to exposure to various elements or substances

    oai_token-act-pair · gpt-3.5-turbo

    instances of being exposed to harmful conditions or substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ylum
    -0.75
    widget
    -0.74
     resolved
    -0.69
     dispatched
    -0.64
    Reviewed
    -0.63
    built
    -0.63
    NUM
    -0.63
    tenance
    -0.62
    tsy
    -0.61
    hesion
    -0.60
    POSITIVE LOGITS
     radiation
    0.76
    othy
    0.76
    asted
    0.75
    agnetic
    0.73
     Flavoring
    0.71
     sunlight
    0.69
     Subtle
    0.68
    iling
    0.68
    zona
    0.67
     fend
    0.66
    Activations Density 0.071%

    No Known Activations