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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. 9-RES-JB
    11. 23221
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    INDEX
    Explanations

    numeric quantities or measurements preceded by the word "around"

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating approximate quantities or estimates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yet
    -0.65
    rog
    -0.61
     Definitive
    -0.60
    Sent
    -0.59
     DRAG
    -0.58
    nis
    -0.56
     Tigers
    -0.56
     Panthers
    -0.55
    Ö¼
    -0.55
    BT
    -0.55
    POSITIVE LOGITS
     1900
    0.88
     9000
    0.86
     1400
    0.85
     3000
    0.83
     2500
    0.82
     1600
    0.81
     950
    0.80
     1700
    0.79
     1500
    0.78
     150
    0.78
    Activations Density 0.035%

    No Known Activations