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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. 3-RES-JB
    11. 13352
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    Explanations

    phrases related to specific products or references to movies and characters

    oai_token-act-pair · gpt-3.5-turbo

    references to types of wounds or injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antha
    -0.65
    agonist
    -0.64
    riel
    -0.62
    OTUS
    -0.61
     momentum
    -0.61
     inexper
    -0.59
     realities
    -0.59
    sworth
    -0.58
    ody
    -0.57
     Winds
    -0.57
    POSITIVE LOGITS
    ichick
    0.88
    arij
    0.81
    Ö¼
    0.80
    tein
    0.74
    士
    0.73
    tackle
    0.72
    Street
    0.71
    naire
    0.70
    ractor
    0.69
    KK
    0.68
    Activations Density 0.000%

    No Known Activations