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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. 2910
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    INDEX
    Explanations

    financial terms and figures related to monetary transactions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" across 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
    Not in Any Lists

    No Comments

    Negative Logits
    mosp
    -0.74
     premiered
    -0.66
    ateur
    -0.65
    OME
    -0.65
     gripped
    -0.63
    Ü
    -0.63
    iveness
    -0.62
    rw
    -0.62
    etheless
    -0.61
    hov
    -0.60
    POSITIVE LOGITS
     lieu
    1.39
     exchange
    1.17
     accordance
    1.04
     advance
    1.02
     installments
    1.01
     increments
    1.00
     conjunction
    0.99
     order
    0.97
     denominations
    0.92
     return
    0.90
    Activations Density 0.242%

    No Known Activations