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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. 8-RES-JB
    11. 14558
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    Explanations

    the word "there" followed by a numeral representing a quantity or magnitude

    oai_token-act-pair · gpt-3.5-turbo

    the word "there" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Charleston
    -0.59
     Injury
    -0.58
    full
    -0.58
     Dish
    -0.58
     scoop
    -0.57
     Erit
    -0.57
     Mecca
    -0.56
     Slayer
    -0.56
    crow
    -0.55
    Bio
    -0.55
    POSITIVE LOGITS
    abouts
    1.58
    upon
    1.14
    fore
    0.84
    after
    0.82
     weren
    0.80
     are
    0.79
     aren
    0.77
    FORE
    0.75
     were
    0.74
    idents
    0.73
    Activations Density 0.120%

    No Known Activations