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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. 3469
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    Explanations

    words related to automatic processes or systems

    oai_token-act-pair · gpt-3.5-turbo

    the concept of automation in various contexts

    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
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    Negative Logits
    ĸļ
    -1.02
    ippi
    -0.88
    borough
    -0.80
    Ãį
    -0.74
    andals
    -0.73
    rast
    -0.73
    代
    -0.71
    adr
    -0.70
    rug
    -0.69
    gdala
    -0.69
    POSITIVE LOGITS
    immune
    0.92
     transmission
    0.90
     detect
    0.86
     captcha
    0.84
     sprink
    0.83
     upd
    0.83
     renewal
    0.82
     revert
    0.80
     populate
    0.80
     induct
    0.80
    Activations Density 0.039%

    No Known Activations