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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. 22964
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    identifiers related to financial transactions or status reports

    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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    No Comments

    Negative Logits
    imaru
    -0.79
    pection
    -0.75
    dain
    -0.66
    riott
    -0.63
    py
    -0.61
     Immunity
    -0.59
    rity
    -0.59
    upe
    -0.59
    ackets
    -0.57
    phe
    -0.56
    POSITIVE LOGITS
    ALLY
    0.65
    \/\/
    0.58
    ologically
    0.57
     TODAY
    0.57
    office
    0.53
    akov
    0.52
    ULAR
    0.51
    ological
    0.51
     Draper
    0.50
     yourselves
    0.50
    Activations Density 0.203%

    No Known Activations