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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. 7113
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    Explanations

    the prefix "met" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "met"

    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
    etheless
    -0.76
    ignt
    -0.65
    adoes
    -0.63
    container
    -0.63
    rontal
    -0.62
    cember
    -0.62
    uyomi
    -0.62
    ItemTracker
    -0.61
     nomine
    -0.61
    Ħ¢
    -0.61
    POSITIVE LOGITS
    amorph
    1.21
    ropolis
    1.10
    tle
    0.89
    ropolitan
    0.89
    ered
    0.83
    abus
    0.79
    allic
    0.78
    lehem
    0.76
    areth
    0.76
    yll
    0.76
    Activations Density 0.011%

    No Known Activations