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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. 4856
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    INDEX
    Explanations

    personal narratives or stories depicting emotional events

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

    significant temporal markers in narratives

    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
    omial
    -0.77
    ombat
    -0.74
    phas
    -0.73
    cknow
    -0.72
    ħĭ
    -0.70
    ©¶æ¥µ
    -0.69
    versions
    -0.68
    Export
    -0.68
    clusively
    -0.68
    ategories
    -0.66
    POSITIVE LOGITS
     shortly
    0.83
     sometime
    0.81
     someone
    0.81
     somebody
    0.81
     suddenly
    0.78
     summers
    0.78
     dusk
    0.76
     when
    0.76
     Trayvon
    0.74
     woke
    0.74
    Activations Density 0.425%

    No Known Activations