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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. 3-RES-JB
    11. 16816
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    INDEX
    Explanations

    phrases related to business or economic terms, particularly those involving financial quarters

    oai_token-act-pair · gpt-3.5-turbo

    terms related to time periods and measurement segments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Quantity
    -0.77
    uge
    -0.72
    UGE
    -0.68
    uries
    -0.67
    APD
    -0.66
    IDA
    -0.66
    UE
    -0.66
    emi
    -0.65
    UME
    -0.65
     Hernandez
    -0.62
    POSITIVE LOGITS
    belt
    0.91
    ners
    0.90
    tyard
    0.81
    llular
    0.79
    tainment
    0.78
    finals
    0.77
    backer
    0.77
    pring
    0.76
    tenance
    0.76
    iors
    0.76
    Activations Density 0.022%

    No Known Activations