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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. 11-RES-JB
    11. 22281
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    Explanations

    phrases related to achievement and recognition

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the number of times individuals have achieved recognition in sports or competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dyl
    -0.86
    enance
    -0.80
    ovember
    -0.80
    rary
    -0.77
    morrow
    -0.76
    conom
    -0.76
    nown
    -0.75
    related
    -0.75
    SPONSORED
    -0.75
    rology
    -0.71
    POSITIVE LOGITS
     champion
    1.41
     winner
    1.35
     champ
    1.33
     champions
    1.24
     Champion
    1.12
     winners
    1.08
     Olympic
    1.08
     Olymp
    1.07
     MVP
    1.07
     vict
    1.03
    Activations Density 0.085%

    No Known Activations