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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. 7-RES-JB
    11. 19149
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    Explanations

    words related to comparison or contrast, particularly when highlighting differences or implying exclusion

    oai_token-act-pair · gpt-3.5-turbo

    references to "the rest" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.65
     scissors
    -0.65
     Rear
    -0.62
    interstitial
    -0.60
    asma
    -0.60
    iku
    -0.57
     Prix
    -0.57
    Gy
    -0.56
    gged
    -0.56
     Rays
    -0.55
    POSITIVE LOGITS
    orative
    1.19
    ructure
    1.07
    rike
    0.85
    erer
    0.82
    lessness
    0.78
    ock
    0.77
    owment
    0.77
    raint
    0.77
    ayers
    0.75
    reet
    0.75
    Activations Density 0.021%

    No Known Activations