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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. 1-RES-JB
    11. 11540
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    Explanations

    terms related to real-world scenarios or experiences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "real-world."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irez
    -0.80
    EStream
    -0.76
    haps
    -0.74
    rations
    -0.71
    veyard
    -0.70
    raviolet
    -0.65
    ients
    -0.63
     deduct
    -0.63
    onies
    -0.62
    orescence
    -0.61
    POSITIVE LOGITS
    world
    1.01
    wide
    0.95
    icz
    0.88
    afety
    0.86
    liness
    0.82
    pedia
    0.79
    ship
    0.78
    allo
    0.75
    World
    0.74
    side
    0.73
    Activations Density 0.017%

    No Known Activations