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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. 8059
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    Explanations

    actions associated with a significant and continuous flow or pouring

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the movement of liquids or substances

    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
    zanne
    -0.68
     Homo
    -0.66
     resear
    -0.66
    ansion
    -0.64
    urat
    -0.62
    theless
    -0.62
    isal
    -0.61
    eka
    -0.61
    phi
    -0.61
    schild
    -0.60
    POSITIVE LOGITS
     everywhere
    0.87
     across
    0.81
     onto
    0.74
     ashore
    0.73
     emanating
    0.71
     FROM
    0.71
     throughout
    0.71
     spontaneously
    0.71
     freely
    0.70
     anywhere
    0.70
    Activations Density 0.234%

    No Known Activations