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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. 2-RES-JB
    11. 18689
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    INDEX
    Explanations

    instances of the word "fore" and related variations, potentially indicating a focus on forecasting or forward-looking aspects

    oai_token-act-pair · gpt-3.5-turbo

    the word "fore" and its variations, indicating a focus on future implications or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kits
    -0.63
    Miller
    -0.62
    Nap
    -0.61
     Mats
    -0.58
     Boat
    -0.58
     regards
    -0.57
     UCS
    -0.57
     Mage
    -0.57
     Pon
    -0.57
     kettle
    -0.56
    POSITIVE LOGITS
    theless
    1.16
    thood
    1.05
    fter
    1.02
    fore
    1.00
    nsic
    0.99
    nergy
    0.94
    idth
    0.90
    rontal
    0.90
    milo
    0.88
    vernment
    0.86
    Activations Density 0.012%

    No Known Activations