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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. 23458
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    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to categories, classifications, or metrics

    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
    ropolis
    -0.67
    bart
    -0.60
    ython
    -0.58
    tein
    -0.58
    stown
    -0.56
    Tweet
    -0.55
    odox
    -0.55
     Pengu
    -0.55
    racuse
    -0.55
    bie
    -0.54
    POSITIVE LOGITS
     respectively
    2.29
     alike
    1.97
    depending
    1.08
     simultaneously
    1.06
     depending
    0.91
     interchange
    0.91
     combined
    0.89
     jointly
    0.87
    hips
    0.87
     concurrently
    0.83
    Activations Density 0.458%

    No Known Activations