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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. 8-RES-JB
    11. 11956
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    Explanations

    mentions of California (abbreviated as "ca") with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to caffeinated beverages and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Yor
    -0.74
    selves
    -0.69
     Dynamics
    -0.65
    hyde
    -0.63
    SHIP
    -0.61
    bucks
    -0.61
    self
    -0.61
     ads
    -0.61
     defamation
    -0.60
    pedia
    -0.59
    POSITIVE LOGITS
    ffer
    1.15
    utions
    1.08
    pping
    1.05
    uter
    0.97
    ppy
    0.97
    ffe
    0.93
    roach
    0.91
    asus
    0.90
    ud
    0.89
    pperc
    0.88
    Activations Density 0.031%

    No Known Activations