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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. 8657
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    Explanations

    names starting with "Be" followed by a single character

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities with the name "Be" or similar variations

    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
     totality
    -0.68
     firsthand
    -0.67
     procedure
    -0.67
     nap
    -0.64
    intendent
    -0.63
     resonance
    -0.63
    demand
    -0.63
     partName
    -0.63
    ablishment
    -0.63
     constellation
    -0.62
    POSITIVE LOGITS
    yond
    1.09
    aum
    1.06
    hemoth
    1.03
    arers
    0.99
    auc
    0.96
    acons
    0.94
    falls
    0.94
    ech
    0.94
    ards
    0.93
    git
    0.93
    Activations Density 0.036%

    No Known Activations