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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. 6-RES-JB
    11. 9749
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    Explanations

    information related to sports players and their participation in games

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "play" in different tenses and forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.68
    ortium
    -0.64
     Apost
    -0.61
    xon
    -0.60
    brow
    -0.60
    icity
    -0.60
    agger
    -0.60
    fty
    -0.59
     relinqu
    -0.58
    İ
    -0.58
    POSITIVE LOGITS
    wright
    1.06
    imony
    0.90
    ername
    0.89
    testing
    0.81
     played
    0.80
    tested
    0.78
    testers
    0.76
     havoc
    0.74
    getic
    0.72
     against
    0.71
    Activations Density 0.058%

    No Known Activations