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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. 22901
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating understanding or acknowledgment of information

    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
    ĸļ
    -0.84
    akable
    -0.78
    ield
    -0.76
    always
    -0.75
    pan
    -0.75
    izont
    -0.74
    aho
    -0.74
    ãĥĩ
    -0.74
    urden
    -0.73
    orc
    -0.72
    POSITIVE LOGITS
     sources
    0.88
     Sources
    0.83
     NYPD
    0.75
     excerpts
    0.74
     representatives
    0.72
     Nunes
    0.72
     eyewitness
    0.71
     rumours
    0.71
     Rum
    0.70
     Inquis
    0.70
    Activations Density 0.228%

    No Known Activations