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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. 23981
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    Explanations

    proper names with accents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of names or proper nouns

    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
    eer
    -0.87
    croft
    -0.82
    e
    -0.77
    bell
    -0.75
    scape
    -0.74
    corn
    -0.74
     Contra
    -0.70
    wake
    -0.70
     Raider
    -0.69
    sters
    -0.69
    POSITIVE LOGITS
    ér
    0.90
    è
    0.87
    én
    0.86
    ô
    0.82
    acies
    0.77
    abbit
    0.77
    idian
    0.77
    icks
    0.76
    ÃŃn
    0.76
    APH
    0.76
    Activations Density 0.023%

    No Known Activations