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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. 8-RES-JB
    11. 15042
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    Explanations

    phrases describing the time and place where events occur

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a situation or event that is established or positioned at a specific time or place

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.85
    paste
    -0.69
    asive
    -0.63
    alez
    -0.60
    udeau
    -0.60
    aud
    -0.60
    ory
    -0.59
    ãĤĭ
    -0.58
    MAL
    -0.58
    Sense
    -0.57
    POSITIVE LOGITS
    tle
    1.14
    upt
    0.90
     abl
    0.89
    ters
    0.88
     sail
    0.87
     forth
    0.86
    TING
    0.83
    ter
    0.82
    itud
    0.80
    tering
    0.78
    Activations Density 0.034%

    No Known Activations