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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. 10393
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    Explanations

    computer processor names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly of people and places

    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
    orem
    -0.66
     miscarriage
    -0.66
     fixme
    -0.65
    erity
    -0.63
     distance
    -0.61
    uity
    -0.60
     Decay
    -0.60
    hered
    -0.60
     vow
    -0.57
    blers
    -0.57
    POSITIVE LOGITS
    neck
    0.74
    GROUP
    0.74
    éĹĺ
    0.73
    WAYS
    0.70
    ignt
    0.67
    --+
    0.67
    lict
    0.65
    âĸ¬âĸ¬
    0.65
    clude
    0.65
    ãĥ´ãĤ¡
    0.64
    Activations Density 0.188%

    No Known Activations