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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. 11-RES-JB
    11. 5724
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    Explanations

    verbs related to actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statements of fact or observation that don't necessarily reflect broader realities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĢı
    -0.74
    [/
    -0.70
     Quote
    -0.60
     rapists
    -0.60
     rapist
    -0.60
    ?ãĢį
    -0.60
    ãĢį
    -0.60
     ;;
    -0.57
    *,
    -0.57
     Crim
    -0.57
    POSITIVE LOGITS
    ograp
    0.77
    ormal
    0.70
    outine
    0.65
    earchers
    0.64
    controlled
    0.62
    ailable
    0.62
    erential
    0.62
    Detailed
    0.61
    owship
    0.60
    essage
    0.60
    Activations Density 1.016%

    No Known Activations