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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. 23848
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    INDEX
    Explanations

    words related to sharp objects or tools, particularly "saber"

    oai_token-act-pair · gpt-3.5-turbo

    words related to balance and balancing concepts

    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
    Construct
    -0.78
     Hobby
    -0.77
    Fine
    -0.74
    olved
    -0.74
    naire
    -0.74
     Halls
    -0.73
    Page
    -0.73
    ENTION
    -0.71
     Accountability
    -0.70
     Continued
    -0.69
    POSITIVE LOGITS
     bal
    0.93
     destro
    0.92
    anches
    0.88
     exha
    0.85
    elaide
    0.83
    vertisement
    0.83
    ancers
    0.83
    eware
    0.82
    usters
    0.82
    anca
    0.78
    Activations Density 0.009%

    No Known Activations