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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. 4-RES-JB
    11. 6253
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    Explanations

    references to specific years, particularly the year 2005

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2005

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

    No Comments

    Negative Logits
    ymes
    -0.71
    vere
    -0.67
    shaw
    -0.67
    warts
    -0.66
    otions
    -0.66
    ifling
    -0.65
    BOOK
    -0.65
    ebook
    -0.65
    bow
    -0.64
     Stru
    -0.63
    POSITIVE LOGITS
    å¹
    0.89
    -'
    0.85
    rak
    0.72
    marked
    0.71
     Fuk
    0.68
     ILCS
    0.67
     onwards
    0.66
    iatric
    0.65
    velength
    0.64
    iens
    0.63
    Activations Density 0.025%

    No Known Activations