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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. 4721
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    Explanations

    words related to expressing disappointment or alarm

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret or lamentation

    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
    icles
    -0.92
    icle
    -0.87
    pload
    -0.75
    ocular
    -0.72
    =#
    -0.71
    itiveness
    -0.71
    ciating
    -0.69
    ying
    -0.68
    >>>>>>>>
    -0.68
    pack
    -0.65
    POSITIVE LOGITS
    asca
    0.77
    ansas
    0.76
    ashtra
    0.76
    onso
    0.75
    shire
    0.75
    rian
    0.73
    forth
    0.73
    agne
    0.71
    llo
    0.71
    agnar
    0.70
    Activations Density 0.031%

    No Known Activations