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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22176
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    Explanations

    adjectives or verbs associated with judgment or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to evaluation and critique of media or projects

    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
    bara
    -0.60
    bill
    -0.59
    ingham
    -0.57
    eligible
    -0.56
    ajo
    -0.56
    ende
    -0.54
    avers
    -0.53
    ¿½
    -0.53
    apo
    -0.53
    isman
    -0.52
    POSITIVE LOGITS
     somew
    0.68
     carbs
    0.65
     spoilers
    0.61
     disclaimer
    0.60
     chronological
    0.58
     masturbation
    0.58
     multiplayer
    0.58
     wee
    0.56
     christ
    0.56
     monog
    0.55
    Activations Density 1.113%

    No Known Activations