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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. 11-RES-JB
    11. 20492
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    INDEX
    Explanations

    keywords related to actions or events that have significant consequences or impact

    oai_token-act-pair · gpt-3.5-turbo

    temporal markers and conditions associated with ongoing situations or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eatures
    -0.76
    etheless
    -0.71
    VERTISEMENT
    -0.68
    ailability
    -0.66
     conflic
    -0.58
    erent
    -0.55
    ranean
    -0.54
    natureconservancy
    -0.54
    âĸ¬
    -0.54
    retty
    -0.54
    POSITIVE LOGITS
     to
    1.04
     and
    0.82
    :
    0.78
    to
    0.75
     To
    0.73
    ;
    0.73
    ,
    0.69
     for
    0.67
     because
    0.66
     –
    0.66
    Activations Density 0.717%

    No Known Activations