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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. 8-RES-JB
    11. 14348
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    INDEX
    Explanations

    phrases related to the impact of various factors or events

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "impact" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    wagen
    -0.75
    corn
    -0.74
     subp
    -0.65
    mberg
    -0.64
    reated
    -0.64
    swick
    -0.62
    croft
    -0.61
    cia
    -0.60
    atts
    -0.60
    IDE
    -0.60
    POSITIVE LOGITS
    ful
    1.15
     crater
    0.92
    eless
    0.85
    iveness
    0.83
     impacts
    0.83
     impact
    0.83
    effects
    0.77
    impact
    0.76
    ively
    0.71
    bringer
    0.71
    Activations Density 0.038%

    No Known Activations