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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. 3689
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    INDEX
    Explanations

    mentions of tents

    oai_token-act-pair · gpt-3.5-turbo

    references to tents or tent-like structures

    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
    obbies
    -0.70
     symmetry
    -0.67
    Words
    -0.66
    bye
    -0.66
    ÃĽ
    -0.64
    dimensional
    -0.63
    Finish
    -0.59
     Cuomo
    -0.59
    enforcement
    -0.58
    History
    -0.58
    POSITIVE LOGITS
    acle
    1.26
    atively
    1.23
    pole
    1.13
     tent
    1.04
    acles
    0.97
     encamp
    0.95
     pole
    0.95
     tents
    0.93
     flap
    0.91
    acular
    0.86
    Activations Density 0.005%

    No Known Activations