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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. 4-RES-JB
    11. 9597
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    Explanations

    sentences or phrases that express confusion or strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character or figurative representation of a personification

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

    No Comments

    Negative Logits
     prevailing
    -0.68
     bias
    -0.68
    ussian
    -0.67
    ividual
    -0.67
     perpet
    -0.65
    itably
    -0.61
     domestic
    -0.61
     stacked
    -0.60
     Albany
    -0.60
     domestically
    -0.60
    POSITIVE LOGITS
    âĢķ
    1.06
    ¹
    1.00
    âĶĢ
    0.91
    £
    0.85
    Elsa
    0.84
    -|
    0.79
    ··
    0.78
    dro
    0.78
    âĻ
    0.78
    ——
    0.77
    Activations Density 0.457%

    No Known Activations