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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. 3-RES-JB
    11. 16576
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    INDEX
    Explanations

    phrases prompting action or movement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "grab."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.71
    xual
    -0.71
    ingen
    -0.65
    soType
    -0.64
    Correction
    -0.63
     conduc
    -0.63
     Contrast
    -0.63
     withd
    -0.62
    bard
    -0.62
    guy
    -0.61
    POSITIVE LOGITS
    bers
    0.90
    rill
    0.89
     grab
    0.86
     grabbing
    0.83
    bable
    0.81
    aneers
    0.79
     onto
    0.77
    iques
    0.77
    rolet
    0.76
    bing
    0.76
    Activations Density 0.012%

    No Known Activations