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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. 11-RES-JB
    11. 3922
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    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and expressions of possibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recite
    -0.72
     wander
    -0.72
    formance
    -0.71
     reply
    -0.69
    USE
    -0.67
     attend
    -0.66
     Perform
    -0.65
    ggle
    -0.65
    Rush
    -0.64
     repeat
    -0.64
    POSITIVE LOGITS
     prevented
    1.45
     lowered
    1.39
     ensured
    1.38
     ushered
    1.32
     helped
    1.31
     reduced
    1.31
     exacerbated
    1.30
     eliminated
    1.30
     resulted
    1.30
     enabled
    1.29
    Activations Density 0.360%

    No Known Activations