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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. 10-RES-JB
    11. 1363
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    Explanations

    phrases related to actions involving sending, delivering, or transferring items or information

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or groups of people and their interactions with certain objects or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.77
    conom
    -0.73
    eton
    -0.73
    bane
    -0.71
    iHUD
    -0.67
     à¨
    -0.65
    vity
    -0.65
    itarian
    -0.64
    LOD
    -0.63
    .............
    -0.62
    POSITIVE LOGITS
     rightful
    1.09
     nearest
    1.00
     bidder
    0.93
     purchaser
    0.92
     recipient
    0.89
     detriment
    0.89
     unsuspecting
    0.88
     coffers
    0.88
     landfill
    0.87
     doorstep
    0.86
    Activations Density 0.236%

    No Known Activations