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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. 14668
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    INDEX
    Explanations

    mentions of a specific brand or product name, possibly related to electronics or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific location, particularly a place named "Amiga" and its variations

    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
    liness
    -0.78
    ortium
    -0.73
    taker
    -0.69
    meric
    -0.67
    fulness
    -0.67
    list
    -0.67
    safety
    -0.64
    orship
    -0.64
    giving
    -0.62
    fully
    -0.62
    POSITIVE LOGITS
    vernment
    1.06
    iga
    0.90
    acs
    0.84
    ption
    0.83
    emia
    0.81
    TeX
    0.78
    arb
    0.78
    veyard
    0.78
    otom
    0.76
    ussian
    0.76
    Activations Density 0.018%

    No Known Activations