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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the term "Deepwater Horizon"

    oai_token-act-pair · gpt-3.5-turbo

    references to "water" in various contexts, particularly related to events or incidents involving water

    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
    RON
    -0.77
    ======
    -0.75
    ============
    -0.72
    oult
    -0.72
    ULE
    -0.71
    uls
    -0.69
    uler
    -0.69
    ERO
    -0.67
    ²¾
    -0.67
    PsyNetMessage
    -0.64
    POSITIVE LOGITS
    melon
    1.25
    water
    0.98
    bank
    0.84
    dropping
    0.80
    pipe
    0.78
    ashtra
    0.77
    proof
    0.75
     Crossing
    0.75
    stones
    0.74
    marked
    0.74
    Activations Density 0.014%

    No Known Activations