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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. 18151
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    Explanations

    mentions of costs or financial implications

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expenses or costs

    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
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.83
    zinski
    -0.69
    ullivan
    -0.69
    smoking
    -0.66
    ergy
    -0.66
    spection
    -0.65
    fw
    -0.65
    venth
    -0.64
    icter
    -0.63
    idia
    -0.63
    POSITIVE LOGITS
     taxpayers
    1.29
    umed
    1.05
    payers
    0.97
     prohib
    0.97
    umers
    0.94
    liest
    0.90
     money
    0.90
     £
    0.90
    lier
    0.89
     $
    0.88
    Activations Density 0.042%

    No Known Activations