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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. 1-RES-JB
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    INDEX
    Explanations

    the word "compensate" or its variations

    oai_token-act-pair · gpt-3.5-turbo

    words related to compensation and making up for losses or deficiencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oys
    -0.74
    chief
    -0.71
     Willow
    -0.71
    stone
    -0.68
    marked
    -0.67
    mar
    -0.66
    eng
    -0.66
    car
    -0.65
     Deer
    -0.65
    cig
    -0.65
    POSITIVE LOGITS
     compensate
    1.40
     compensated
    1.28
     compens
    1.25
    ments
    1.04
     offsets
    0.94
     compensation
    0.90
     veter
    0.88
     disadvant
    0.88
     adjusts
    0.88
     counteract
    0.83
    Activations Density 0.004%

    No Known Activations