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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. 3-RES-JB
    11. 18027
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    INDEX
    Explanations

    phrases related to specific levels or divisions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of collegiate divisions, particularly NCAA divisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.93
     unaccompanied
    -0.72
    uter
    -0.70
    gotten
    -0.69
    chell
    -0.64
    =~=~
    -0.63
    uated
    -0.63
    packing
    -0.62
    pez
    -0.62
     decomp
    -0.61
    POSITIVE LOGITS
    al
    0.90
     Division
    0.83
    naire
    0.78
    ISION
    0.76
     Mines
    0.73
    alis
    0.73
    ally
    0.73
     Branch
    0.70
    heses
    0.70
    ality
    0.70
    Activations Density 0.010%

    No Known Activations