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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. 19528
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    Explanations

    phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks

    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
     adjud
    -0.81
     scheduled
    -0.81
     favor
    -0.77
     sway
    -0.77
     bargain
    -0.74
     overshadowed
    -0.71
     endeav
    -0.70
     footing
    -0.70
     plagued
    -0.70
     periodic
    -0.69
    POSITIVE LOGITS
    We
    1.15
    It
    1.10
    Because
    1.09
    Everybody
    1.08
    I
    1.08
    Everyone
    1.06
    There
    1.06
    Whereas
    1.05
    Obviously
    1.05
    They
    1.05
    Activations Density 0.090%

    No Known Activations