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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. 9-RES-JB
    11. 20253
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    Explanations

    male given names combined with a specific pattern of consonants and vowels

    oai_token-act-pair · gpt-3.5-turbo

    words that end with specific letter combinations or related to action verbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •male

    No Comments

    Negative Logits
    staking
    -0.68
    Environment
    -0.65
     Logged
    -0.62
    cest
    -0.60
     eminent
    -0.60
    isSpecialOrderable
    -0.60
     Shank
    -0.58
    rency
    -0.58
    interstitial
    -0.58
     trademark
    -0.57
    POSITIVE LOGITS
    rophe
    0.83
    nel
    0.76
    ©¶æ
    0.72
    ilts
    0.71
     Pradesh
    0.69
    umatic
    0.69
    ä
    0.67
    acker
    0.67
    achus
    0.66
    itional
    0.66
    Activations Density 0.283%

    No Known Activations