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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. 7-RES-JB
    11. 3986
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    INDEX
    Explanations

    positive actions or goals expressed in a directive manner

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to desire and intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    burgh
    -0.68
     Alas
    -0.68
    aic
    -0.65
    thodox
    -0.64
     Illegal
    -0.60
     Beir
    -0.60
    cius
    -0.59
    usra
    -0.58
    indust
    -0.57
    Intel
    -0.56
    POSITIVE LOGITS
     yourself
    1.11
     yourselves
    0.79
    ploy
    0.66
    ãĤĮ
    0.66
     shower
    0.64
     vulner
    0.64
    asuring
    0.62
     compromising
    0.62
    poke
    0.61
    itness
    0.61
    Activations Density 0.510%

    No Known Activations