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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. 8379
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    Explanations

    words related to social and political issues, particularly those with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to social issues and discrimination

    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
    ificantly
    -0.80
    icut
    -0.76
    ificant
    -0.70
    ebin
    -0.69
    illy
    -0.66
    ilet
    -0.65
     <-
    -0.63
    rontal
    -0.62
    ename
    -0.62
    stantial
    -0.61
    POSITIVE LOGITS
     afforded
    1.04
     plag
    1.03
     enjoyed
    0.89
     encountered
    0.88
     seen
    0.86
     prevalent
    0.86
     that
    0.85
     inherent
    0.85
     underpin
    0.84
     gripping
    0.84
    Activations Density 0.611%

    No Known Activations