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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. 1-RES-JB
    11. 6645
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    INDEX
    Explanations

    expressions related to spending or allocating money

    oai_token-act-pair · gpt-3.5-turbo

    the concept of financial expenditure or spending

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     afore
    -0.65
     Claud
    -0.63
    inguishable
    -0.62
    eat
    -0.62
     realizing
    -0.60
    jar
    -0.60
     Watson
    -0.60
     Seymour
    -0.60
     Sie
    -0.59
    ected
    -0.59
    POSITIVE LOGITS
    itures
    1.21
     Spend
    1.00
     Spending
    0.97
    iture
    0.96
     spend
    0.91
    edIn
    0.84
     spending
    0.78
     lav
    0.78
     expenditure
    0.77
    kson
    0.76
    Activations Density 0.018%

    No Known Activations