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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. 3873
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    INDEX
    Explanations

    mentions of events, activities, or items related to a specific local area

    oai_token-act-pair · gpt-3.5-turbo

    references to local activities or entities

    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
    rer
    -0.88
    rers
    -0.82
    ger
    -0.78
    eer
    -0.73
    glers
    -0.71
    itor
    -0.70
    faces
    -0.70
    cair
    -0.69
    GER
    -0.67
    amins
    -0.67
    POSITIVE LOGITS
     speaking
    0.89
     exting
    0.85
     brewed
    0.85
     sourced
    0.81
     owned
    0.79
     Speaking
    0.79
     localized
    0.76
     tuned
    0.75
     located
    0.74
     identifiable
    0.73
    Activations Density 0.010%

    No Known Activations