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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. 12680
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    INDEX
    Explanations

    specific entities or nouns related to images or visual descriptions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe photographic content

    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
    entimes
    -0.66
    iably
    -0.58
    icip
    -0.57
    efully
    -0.56
    respective
    -0.55
    Especially
    -0.54
    DIV
    -0.54
    orts
    -0.51
    endi
    -0.51
    Specifically
    -0.50
    POSITIVE LOGITS
     USS
    0.70
     Shutterstock
    0.66
     Rahul
    0.62
     Trayvon
    0.57
     david
    0.57
     Hiroshima
    0.56
     WTC
    0.56
     Dalai
    0.55
     Wikimedia
    0.53
     rapist
    0.52
    Activations Density 0.610%

    No Known Activations