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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. 4942
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    INDEX
    Explanations

    names of people or possibly locations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scores, ratings, and quantified assessments

    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
     dime
    -0.73
     brim
    -0.71
     pont
    -0.64
     whisk
    -0.63
     reg
    -0.63
     sovere
    -0.62
     antis
    -0.62
     condition
    -0.62
     combust
    -0.62
     unaff
    -0.61
    POSITIVE LOGITS
    theless
    1.13
    DragonMagazine
    1.08
    eus
    0.99
    furt
    0.93
    ukong
    0.92
    vous
    0.92
    adobe
    0.86
    hyde
    0.86
    uration
    0.84
    picture
    0.80
    Activations Density 0.394%

    No Known Activations