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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. 1-RES-JB
    11. 5370
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    Explanations

    words related to preventing or avoiding negative outcomes or crises

    oai_token-act-pair · gpt-3.5-turbo

    words related to avoiding negative outcomes or crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ession
    -0.74
    holm
    -0.70
     Resistance
    -0.69
    oven
    -0.67
     inhibitors
    -0.67
    Hard
    -0.67
    Solid
    -0.66
    eton
    -0.66
    Cho
    -0.66
    Choice
    -0.65
    POSITIVE LOGITS
     aver
    1.51
     avert
    1.22
    tle
    0.93
    uve
    0.90
     blink
    0.90
    ting
    0.83
    ulence
    0.77
    orial
    0.76
     wink
    0.75
    ted
    0.74
    Activations Density 0.011%

    No Known Activations