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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. 9978
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    Explanations

    uncommon or formal terms that indicate action, exploration, or beginning of something

    oai_token-act-pair · gpt-3.5-turbo

    formal and administrative language related to processes and actions

    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
    verbs
    -0.75
    elling
    -0.67
    ammy
    -0.67
    parse
    -0.65
    paren
    -0.64
    packs
    -0.61
    GER
    -0.60
    IFIC
    -0.59
    door
    -0.59
    Mic
    -0.58
    POSITIVE LOGITS
    ments
    1.06
    merce
    0.76
    forth
    0.75
    quire
    0.75
    terness
    0.73
    ment
    0.72
     hast
    0.72
    estinal
    0.71
    lihood
    0.70
    hower
    0.70
    Activations Density 0.305%

    No Known Activations