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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. 11185
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    Explanations

    names or parts of names with peculiar characters

    oai_token-act-pair · gpt-3.5-turbo

    the end of segments or sections in 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
     incorpor
    -0.81
     secretaries
    -0.75
     targeted
    -0.75
     cones
    -0.72
     succession
    -0.71
     range
    -0.70
     mushroom
    -0.70
     warr
    -0.70
     intercept
    -0.69
    isers
    -0.69
    POSITIVE LOGITS
    ï¸ı
    1.50
    âľ
    1.04
    ï¸
    0.98
    âĻ
    0.97
    âĿ
    0.97
    âĹ
    0.95
     âĢº
    0.94
    âĢ
    0.93
    #
    0.93
    ðŁ
    0.92
    Activations Density 0.150%

    No Known Activations