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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. 3485
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    INDEX
    Explanations

    instances of receiving various types of information or notifications

    oai_token-act-pair · gpt-3.5-turbo

    instances of warnings or notifications

    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
    scape
    -0.68
     Tracks
    -0.62
     Skies
    -0.62
     eras
    -0.61
     Bloody
    -0.61
     trails
    -0.58
     coasts
    -0.57
    ashi
    -0.57
     Alto
    -0.56
     Antar
    -0.56
    POSITIVE LOGITS
     permission
    0.83
     certification
    0.78
     coveted
    0.76
    DERR
    0.75
    license
    0.75
    ocobo
    0.74
     firsthand
    0.73
    accompan
    0.72
     approval
    0.71
    paying
    0.70
    Activations Density 0.396%

    No Known Activations