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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. 11-RES-JB
    11. 1779
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    INDEX
    Explanations

    financial terms related to changes in values or estimates

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to economic indicators and trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    egal
    -0.70
    artifacts
    -0.69
    sonian
    -0.69
    amins
    -0.69
    ournals
    -0.66
    letters
    -0.63
     resemb
    -0.63
    ococ
    -0.63
     apart
    -0.62
    galitarian
    -0.62
    POSITIVE LOGITS
     peak
    1.21
     highs
    1.18
     lows
    1.12
     estimate
    1.04
     peaks
    1.01
     heights
    1.00
     baseline
    0.99
     levels
    0.98
     level
    0.97
     trough
    0.97
    Activations Density 0.153%

    No Known Activations