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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12074
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to newsletters

    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
     joints
    -0.57
     Gaw
    -0.56
    abase
    -0.55
     Galile
    -0.55
     Brist
    -0.55
    Dialogue
    -0.54
     fortun
    -0.53
    matched
    -0.52
     reformed
    -0.52
     breeds
    -0.52
    POSITIVE LOGITS
    usalem
    0.68
    aceous
    0.66
    ieu
    0.66
    ittal
    0.66
    Page
    0.64
    interstitial
    0.64
    ĸļ
    0.62
    taboola
    0.62
    escent
    0.62
    isode
    0.62
    Activations Density 0.022%

    No Known Activations