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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. 16062
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    Explanations

    references to mountains, climbing, and geographical features related to rock formations

    oai_token-act-pair · gpt-3.5-turbo

    references to Mount Everest and related mountainous features or activities

    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
     Lug
    -0.79
    oglobin
    -0.79
    eco
    -0.76
    chem
    -0.72
     iod
    -0.70
    icip
    -0.68
    RNA
    -0.67
    arty
    -0.67
     Leilan
    -0.66
    urg
    -0.66
    POSITIVE LOGITS
     Everest
    1.28
     ridge
    1.00
     climbers
    0.97
     climbing
    0.92
     footh
    0.91
     summit
    0.86
     bould
    0.82
     Peaks
    0.82
     mountains
    0.82
     bluff
    0.81
    Activations Density 0.030%

    No Known Activations