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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. 7-RES-JB
    11. 19515
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to navigation or directionality back to previous content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inational
    -0.80
    izo
    -0.75
    entric
    -0.67
    ellen
    -0.66
     Osc
    -0.64
    ittee
    -0.64
    risome
    -0.64
    uary
    -0.63
    ities
    -0.63
    illery
    -0.62
    POSITIVE LOGITS
    dated
    1.17
    GROUND
    1.11
    stab
    1.09
    packs
    1.09
    )=(
    1.07
    wards
    1.05
    tracking
    1.05
    lash
    1.01
    stories
    0.99
    packing
    0.97
    Activations Density 0.052%

    No Known Activations