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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. 0-RES-JB
    11. 572
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    Explanations

    terms related to econometrics and statistics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to econometrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     legally
    -0.68
     crystal
    -0.61
     Construct
    -0.61
     const
    -0.60
     Middle
    -0.60
     eminent
    -0.59
     permanently
    -0.58
     Lego
    -0.58
    REM
    -0.57
     Wizard
    -0.57
    POSITIVE LOGITS
    rics
    4.73
    tics
    1.58
    rical
    1.31
    adata
    1.19
    rists
    1.15
    rices
    1.14
    etics
    1.11
    ics
    1.09
    rity
    1.09
    acles
    1.08
    Activations Density 0.028%

    No Known Activations