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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. 6-RES-JB
    11. 7054
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    Explanations

    verbs related to sensations or emotions

    oai_token-act-pair · gpt-3.5-turbo

    verbs that convey significant actions or changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nex
    -0.67
    rone
    -0.63
    volent
    -0.62
    ricular
    -0.60
    shore
    -0.59
    aly
    -0.59
    conn
    -0.58
    wives
    -0.58
    ozo
    -0.57
    rel
    -0.57
    POSITIVE LOGITS
    paces
    0.94
    ometimes
    0.89
    hift
    0.86
    EStream
    0.78
    hirt
    0.75
    pace
    0.75
    hement
    0.75
    heet
    0.73
    ilver
    0.72
    ettings
    0.71
    Activations Density 0.407%

    No Known Activations