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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. 10-RES-JB
    11. 9279
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gerald
    -0.84
    iverse
    -0.81
    ilan
    -0.78
    ordinate
    -0.77
    resp
    -0.76
    IELD
    -0.76
    igmatic
    -0.76
    roll
    -0.73
    itude
    -0.73
    ivan
    -0.73
    POSITIVE LOGITS
     techniques
    1.09
     efforts
    1.00
     schemes
    0.99
     process
    0.96
     rates
    0.96
     methods
    0.94
    ists
    0.90
     processes
    0.90
     rites
    0.89
     technique
    0.89
    Activations Density 0.252%

    No Known Activations