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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
    11. 5296
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    Explanations

    words related to "lesions" in a medical context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lesions and their characteristics

    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
    ramid
    -0.67
    oppable
    -0.66
    ÄŁ
    -0.65
    âĨij
    -0.63
    ICE
    -0.63
    HCR
    -0.62
    ĻĤ
    -0.62
    NPR
    -0.61
    orph
    -0.61
    oglu
    -0.61
    POSITIVE LOGITS
     les
    1.16
    bourg
    0.95
    \/\/
    0.85
     toile
    0.80
    los
    0.80
     tyr
    0.79
     lesions
    0.78
     resil
    0.78
    bians
    0.78
     targ
    0.76
    Activations Density 0.006%

    No Known Activations