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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8686
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    INDEX
    Explanations

    proper nouns and names, specifically related to different locations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to government or agency references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.71
     hail
    -0.69
     selves
    -0.64
     caution
    -0.62
     cones
    -0.62
     detrim
    -0.61
     enterprise
    -0.61
     entrants
    -0.60
     boundaries
    -0.59
     lengths
    -0.58
    POSITIVE LOGITS
    wered
    0.98
    imity
    0.93
    heim
    0.89
    otropic
    0.88
    omaly
    0.86
    aldo
    0.84
    obic
    0.83
    imov
    0.83
    mia
    0.81
    oly
    0.80
    Activations Density 0.070%

    No Known Activations