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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. 12-RES-JB
    11. 2532
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    INDEX
    Explanations

    phrases soliciting or urging support or participation

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    words and phrases indicating conditions, constraints, or requirements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    krit
    -0.69
     daylight
    -0.65
     substantive
    -0.55
     attm
    -0.54
     somew
    -0.54
     )]
    -0.53
     clear
    -0.53
     finite
    -0.53
    icular
    -0.53
     bung
    -0.53
    POSITIVE LOGITS
    ococ
    0.79
    ru
    0.75
    iferation
    0.74
    acs
    0.71
    afort
    0.71
    advertising
    0.70
    ol
    0.68
    defense
    0.66
    iors
    0.65
    Defense
    0.65
    Activations Density 0.268%

    No Known Activations