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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. 1-RES-JB
    11. 13879
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    Explanations

    phrases related to strength or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    references to "buff" or "buffing" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VEN
    -0.77
    ________________________
    -0.71
    VID
    -0.69
     Stras
    -0.69
    AMY
    -0.68
    QUIRE
    -0.68
    MIC
    -0.66
    MAT
    -0.66
    UTION
    -0.65
     Flavoring
    -0.64
    POSITIVE LOGITS
     buff
    1.26
     buffs
    1.07
    alos
    1.03
    buff
    0.99
    eful
    0.91
    aign
    0.88
    dinand
    0.88
     Buff
    0.86
    erey
    0.84
    oon
    0.84
    Activations Density 0.004%

    No Known Activations