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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. 7-RES-JB
    11. 7406
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    Explanations

    characters, possibly special symbols and unusual spelling variations

    oai_token-act-pair · gpt-3.5-turbo

    the character "ľ" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disadvant
    -0.73
     condem
    -0.67
     challeng
    -0.66
     clitor
    -0.64
     incorpor
    -0.64
     hemor
    -0.64
     princ
    -0.63
     apes
    -0.62
     nostalg
    -0.61
     reflex
    -0.60
    POSITIVE LOGITS
    ï¸ı
    1.11
    âĶĢâĶĢ
    0.92
    ternity
    0.84
    ļ
    0.75
    ICE
    0.75
    nder
    0.75
    ł
    0.73
    uthor
    0.73
    cffffcc
    0.72
    olitical
    0.72
    Activations Density 0.162%

    No Known Activations