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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. 10-RES-JB
    11. 794
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'V'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     mats
    -0.65
    --------------------------------------------------------
    -0.63
     Mia
    -0.62
     jour
    -0.61
     commissions
    -0.60
     cottage
    -0.60
     McKay
    -0.60
     killer
    -0.59
     sidebar
    -0.59
     Lisp
    -0.59
    POSITIVE LOGITS
    ancouver
    1.44
    iolet
    1.39
    intage
    1.38
    ideos
    1.36
    ampire
    1.35
    anguard
    1.34
    incent
    1.34
    apor
    1.33
    itamin
    1.30
    oodoo
    1.28
    Activations Density 0.032%

    No Known Activations