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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. 3129
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    INDEX
    Explanations

    numerical values related to financial performance like monetary figures and percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to specific financial quarters

    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
     Reprodu
    -0.73
    ECTION
    -0.71
    Sov
    -0.71
    UCT
    -0.70
    CHO
    -0.69
    å¦
    -0.68
    é¾įå
    -0.66
    é»Ĵ
    -0.66
    yz
    -0.66
    76561
    -0.65
    POSITIVE LOGITS
    quarter
    1.01
    finals
    0.96
    ounces
    0.91
    pring
    0.89
    arse
    0.85
    arie
    0.82
    ouncing
    0.82
    Ħ¢
    0.81
     quarter
    0.81
     quarters
    0.81
    Activations Density 0.010%

    No Known Activations