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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. 2199
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    Explanations

    words related to prevention or avoidance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to saving or stopping negative outcomes

    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
    rian
    -0.66
    è¦ļéĨĴ
    -0.62
    bern
    -0.57
    athom
    -0.56
    ived
    -0.56
    iola
    -0.55
    BN
    -0.55
    enger
    -0.55
    Ãį
    -0.54
    abe
    -0.54
    POSITIVE LOGITS
     off
    2.42
    off
    2.02
     Off
    1.93
    Off
    1.85
    offs
    1.83
     OFF
    1.71
    OFF
    1.69
     offline
    1.00
     away
    0.83
     awa
    0.82
    Activations Density 0.229%

    No Known Activations