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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. 4006
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    INDEX
    Explanations

    the concept of narration or narrating

    oai_token-act-pair · gpt-3.5-turbo

    terms related to storytelling and narration

    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
    eanor
    -0.82
    ertodd
    -0.76
    ukemia
    -0.74
    zanne
    -0.74
    ardless
    -0.73
    enhagen
    -0.72
    EMS
    -0.72
    eks
    -0.69
    inence
    -0.68
    esville
    -0.67
    POSITIVE LOGITS
     narrator
    1.44
     narr
    1.39
     narration
    1.28
     narrated
    1.25
    Narr
    1.10
    accompan
    1.02
     Narr
    0.93
    obook
    0.87
    writer
    0.86
     Compan
    0.82
    Activations Density 0.017%

    No Known Activations