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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. 6-RES-JB
    11. 14794
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    Explanations

    contractions

    oai_token-act-pair · gpt-3.5-turbo

    instances of spoken dialogue or quotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icz
    -0.89
    irez
    -0.85
    APH
    -0.81
    ihar
    -0.81
    ÄŁ
    -0.76
    irtual
    -0.76
    uj
    -0.75
    rendered
    -0.75
    annot
    -0.73
    IDES
    -0.72
    POSITIVE LOGITS
     fashioned
    0.84
     Bastard
    0.78
     Dirty
    0.74
     tha
    0.71
     fun
    0.71
     Mama
    0.69
     Chosen
    0.69
    ãģ¦
    0.69
     Dragonbound
    0.68
     Solitaire
    0.68
    Activations Density 0.021%

    No Known Activations