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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. 12-RES-JB
    11. 3637
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    Explanations

    comparisons involving quantities or measurements

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    comparative phrases indicating "more than" or "greater than" relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     severity
    -0.54
     Central
    -0.54
     accessibility
    -0.54
     stead
    -0.53
     exemptions
    -0.52
     transmission
    -0.51
     maintenance
    -0.51
     tipped
    -0.51
     development
    -0.49
     direction
    -0.49
    POSITIVE LOGITS
    atos
    1.00
    assis
    0.93
    merce
    0.88
    gs
    0.87
    gins
    0.84
    acle
    0.82
    mber
    0.80
    xual
    0.80
    chio
    0.79
    bian
    0.79
    Activations Density 0.055%

    No Known Activations