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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. 7-RES-JB
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    numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their contexts in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matic
    -0.80
    estine
    -0.78
    oard
    -0.75
    hood
    -0.74
    gotten
    -0.74
    MER
    -0.72
    aker
    -0.72
    stein
    -0.71
    pton
    -0.70
    ened
    -0.70
    POSITIVE LOGITS
    mph
    0.86
     ILCS
    0.85
     MPH
    0.84
     mph
    0.83
     pounds
    0.82
     chars
    0.82
    lbs
    0.80
     lbs
    0.79
     SHARES
    0.79
     kilograms
    0.78
    Activations Density 0.048%

    No Known Activations