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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. 17332
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    Explanations

    terms related to traps or dangerous situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific physical characteristics or conditions

    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
    orer
    -0.78
    IFIED
    -0.78
    orers
    -0.73
    IBLE
    -0.72
    Applic
    -0.71
    animous
    -0.69
    aciously
    -0.68
    ourced
    -0.65
    itarian
    -0.64
    ORED
    -0.62
    POSITIVE LOGITS
    gian
    0.96
    Å«
    0.94
    ny
    0.89
    stal
    0.88
    stic
    0.87
    ramid
    0.85
    nda
    0.84
    oky
    0.83
    aku
    0.83
    mbol
    0.83
    Activations Density 0.047%

    No Known Activations