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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. 4888
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    INDEX
    Explanations

    references to increases or rises in data points

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "increase" indicating a rise in various contexts or metrics

    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
     Bowman
    -0.70
    mates
    -0.70
    puted
    -0.70
     Monstrous
    -0.65
    rome
    -0.65
     Surv
    -0.64
     Barg
    -0.63
    PAR
    -0.62
     Healer
    -0.61
     Impossible
    -0.60
    POSITIVE LOGITS
    xual
    1.09
     exponentially
    0.93
     subsequ
    0.85
    ornia
    0.83
    imar
    0.80
    ibal
    0.79
     awareness
    0.77
     sidx
    0.77
     materially
    0.74
     increment
    0.73
    Activations Density 0.044%

    No Known Activations