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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 9708
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    INDEX
    Explanations

    positive and negative reactions, feedback, and support related terms

    oai_token-act-pair · gpt-3.5-turbo

    expressions of public reactions or responses, particularly positive and negative feedback

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bis
    -0.69
    tein
    -0.64
     conserv
    -0.64
     lookout
    -0.63
     navig
    -0.61
     gamb
    -0.61
     pocket
    -0.60
     negotiator
    -0.60
     Fix
    -0.59
     Sit
    -0.59
    POSITIVE LOGITS
     acclaim
    1.01
     disapproval
    0.97
     ridicule
    0.91
     applause
    0.87
     outcry
    0.84
     condemnation
    0.81
    soType
    0.79
     backlash
    0.78
    lash
    0.77
     disbel
    0.77
    Activations Density 0.427%

    No Known Activations