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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. 62
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    Explanations

    questions ending in a question mark

    oai_token-act-pair · gpt-3.5-turbo

    interrogative statements or questions

    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
     encount
    -0.72
     worm
    -0.69
     fart
    -0.69
    aper
    -0.68
    icro
    -0.68
     locks
    -0.67
    eners
    -0.67
    eping
    -0.66
     docks
    -0.66
     wrench
    -0.66
    POSITIVE LOGITS
    .?
    1.05
     Nope
    0.98
    ?:
    0.92
    ����
    0.90
     Probably
    0.88
    ?,
    0.87
     Possibly
    0.86
     Yes
    0.85
     Does
    0.84
     Surely
    0.84
    Activations Density 0.106%

    No Known Activations