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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. 9418
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    Explanations

    phrases related to real-life scenarios or events

    oai_token-act-pair · gpt-3.5-turbo

    references to real-life experiences and situations

    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
    xit
    -0.77
    ressed
    -0.74
    alos
    -0.73
    rar
    -0.72
    pid
    -0.72
    ressing
    -0.71
    ervative
    -0.70
    ione
    -0.70
    raph
    -0.70
    bard
    -0.70
    POSITIVE LOGITS
     scenarios
    0.81
     equivalents
    0.81
     embodiment
    0.81
     counterpart
    0.78
     counterparts
    0.75
     examples
    0.75
     situations
    0.74
     occurrences
    0.72
     equivalent
    0.71
    phrine
    0.70
    Activations Density 0.047%

    No Known Activations