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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. 4-RES-JB
    11. 11111
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    Explanations

    words related to preventing negative events or situations

    oai_token-act-pair · gpt-3.5-turbo

    vocabulary related to prevention and avoidance of negative outcomes

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

    No Comments

    Negative Logits
    ession
    -0.79
    essee
    -0.75
    ogy
    -0.72
     Soda
    -0.70
    Methods
    -0.70
     halls
    -0.66
    ycle
    -0.65
     cores
    -0.65
    ingham
    -0.64
    Cola
    -0.64
    POSITIVE LOGITS
     aver
    1.22
     avert
    1.06
    tle
    0.93
     blink
    0.86
    ted
    0.82
    ulence
    0.81
    pering
    0.79
    uve
    0.78
    wings
    0.76
    ting
    0.75
    Activations Density 0.017%

    No Known Activations