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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. 3-RES-JB
    11. 12524
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    Explanations

    references to specialized or specific markets

    oai_token-act-pair · gpt-3.5-turbo

    terms related to niche markets or specialized sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agher
    -0.69
    aina
    -0.69
    onz
    -0.68
    Fac
    -0.68
     largeDownload
    -0.66
    endment
    -0.65
    owitz
    -0.65
    actionDate
    -0.65
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.63
    Il
    -0.62
    POSITIVE LOGITS
     niche
    1.29
    odox
    0.80
     superpower
    0.69
     nic
    0.69
     outlet
    0.65
    holder
    0.64
     Chimera
    0.63
    pole
    0.63
     cone
    0.62
     versa
    0.62
    Activations Density 0.008%

    No Known Activations