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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. 6-RES-JB
    11. 5583
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    Explanations

    words related to astronomical phenomena and spatial events

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to catastrophe and crisis scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Krish
    -0.45
     Gork
    -0.45
     Izan
    -0.44
    ':
    -0.44
     Zub
    -0.43
     Tap
    -0.43
    ,'"
    -0.43
     Chak
    -0.43
    ';
    -0.43
    ',"
    -0.42
    POSITIVE LOGITS
    âĢ¦)
    0.62
    Downloadha
    0.57
     thereof
    0.57
    pires
    0.56
    )</
    0.52
    ensable
    0.49
    ĪĴ
    0.49
     resided
    0.48
    actionDate
    0.48
    anooga
    0.48
    Activations Density 1.474%

    No Known Activations