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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. 3387
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    Explanations

    statements related to existence or non-existence

    oai_token-act-pair · gpt-3.5-turbo

    statements about the existence of concepts or entities

    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
    hiba
    -0.68
    edo
    -0.66
    wer
    -0.66
    anche
    -0.65
    Ĺ
    -0.64
    acked
    -0.63
    Thom
    -0.62
    me
    -0.62
    ney
    -0.61
    ilde
    -0.60
    POSITIVE LOGITS
    entially
    1.08
    entials
    0.94
     peacefully
    0.83
     within
    0.82
     independently
    0.82
     solely
    0.77
    ences
    0.77
     existed
    0.76
    uate
    0.75
    ential
    0.74
    Activations Density 0.045%

    No Known Activations