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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2781
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    Explanations

    proper nouns related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of commas in the text

    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
    entimes
    -0.79
    cffffcc
    -0.77
    ÙIJ
    -0.74
    attribute
    -0.71
    STON
    -0.68
    ances
    -0.68
    Thumbnail
    -0.68
    ivery
    -0.67
    cially
    -0.66
    ¬¼
    -0.66
    POSITIVE LOGITS
     which
    0.98
     whose
    0.91
     aka
    0.87
     who
    0.82
     Heidi
    0.78
     whom
    0.78
     whence
    0.76
     Ike
    0.75
     Inc
    0.72
     Irma
    0.72
    Activations Density 0.230%

    No Known Activations