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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. 2-RES-JB
    11. 6620
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    Explanations

    statements related to measurements and units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to measurement and quantification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illard
    -0.80
    paragraph
    -0.79
    bara
    -0.71
    sid
    -0.71
    ski
    -0.70
    redo
    -0.69
    cloth
    -0.69
    jet
    -0.69
    jay
    -0.69
    die
    -0.69
    POSITIVE LOGITS
    Measure
    1.08
     measuring
    1.07
     measurements
    1.07
     glim
    1.02
     measurement
    1.02
     Measure
    1.00
     measure
    0.98
     measures
    0.92
     measured
    0.92
     instruments
    0.88
    Activations Density 0.019%

    No Known Activations