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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. 9-RES-JB
    11. 19792
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    INDEX
    Explanations

    instructions or calls to action

    oai_token-act-pair · gpt-3.5-turbo

    imperative phrases urging action or motivation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cean
    -0.75
    velt
    -0.69
     Gardens
    -0.65
    eem
    -0.65
    vale
    -0.59
     defe
    -0.59
     ---------
    -0.58
     triumph
    -0.57
     {:
    -0.57
     decline
    -0.57
    POSITIVE LOGITS
     rid
    1.42
     acquainted
    1.16
     underway
    0.97
    tin
    0.90
    bent
    0.85
     involved
    0.84
     ready
    0.82
     married
    0.81
     vaccinated
    0.81
    started
    0.80
    Activations Density 0.109%

    No Known Activations