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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. 9075
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    Explanations

    mentions of technical terms, possibly related to consulting or business services

    oai_token-act-pair · gpt-3.5-turbo

    references to consumer complaints or criticisms

    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
     Pegasus
    -0.75
     horses
    -0.74
    ãĥīãĥ©ãĤ´ãĥ³
    -0.72
     Highlander
    -0.68
     Lazarus
    -0.64
    WOOD
    -0.64
     Peaks
    -0.63
     scratch
    -0.63
    ILLE
    -0.63
     chapter
    -0.62
    POSITIVE LOGITS
    umers
    1.14
    Cons
    1.12
    ervatives
    1.09
    piracy
    1.04
    erv
    1.04
    cious
    1.04
    cientious
    1.02
    ensus
    1.02
    cons
    1.02
    ensual
    1.00
    Activations Density 0.007%

    No Known Activations