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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. 4-RES-JB
    11. 15972
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    INDEX
    Explanations

    words related to significant impacts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to the consequences or impacts of various situations

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

    No Comments

    Negative Logits
    zan
    -0.69
    gem
    -0.64
    TIT
    -0.63
    mint
    -0.63
    pper
    -0.63
    cin
    -0.62
     Jump
    -0.62
    inarily
    -0.61
    ubes
    -0.61
    Plot
    -0.61
    POSITIVE LOGITS
    effects
    1.28
    iveness
    1.04
     impact
    0.98
    effect
    0.93
    Effects
    0.91
     havoc
    0.90
     impacts
    0.90
     reverber
    0.89
     effects
    0.89
     consequences
    0.89
    Activations Density 0.051%

    No Known Activations