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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. 0-RES-JB
    11. 22523
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols that are not standard letters or numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Churchill
    -0.67
     Albion
    -0.63
     guiActiveUnfocused
    -0.61
     justify
    -0.61
     Keynes
    -0.60
     Infantry
    -0.60
    wark
    -0.60
    pointer
    -0.59
     plead
    -0.59
    inventoryQuantity
    -0.59
    POSITIVE LOGITS
    TAIN
    0.81
    esses
    0.74
    Reviewer
    0.74
    hiba
    0.72
    VICE
    0.69
    WC
    0.67
    EAR
    0.66
    urity
    0.66
     remem
    0.66
    ante
    0.64
    Activations Density 0.000%

    No Known Activations