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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. 10-RES-JB
    11. 6135
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    INDEX
    Explanations

    words related to negative events or problems, especially regarding physical harm or conflict

    oai_token-act-pair · gpt-3.5-turbo

    references to significant societal issues or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     etc
    -0.65
    +.
    -0.58
     to
    -0.54
    [/
    -0.52
     &
    -0.50
     and
    -0.48
    ".
    -0.46
    +,
    -0.46
     *.
    -0.46
     Advertisement
    -0.45
    POSITIVE LOGITS
     Canaver
    0.62
    omatic
    0.56
    bledon
    0.54
    unker
    0.52
    Lens
    0.50
    metal
    0.49
    odox
    0.49
    doms
    0.49
    obook
    0.48
    arnaev
    0.47
    Activations Density 1.257%

    No Known Activations