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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. 16103
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    Explanations

    phrases related to involvement in various activities or discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate entering or engaging with a topic or situation

    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
    âĤ¬
    -0.60
     vanquished
    -0.60
     testament
    -0.59
     condemns
    -0.58
     reconc
    -0.57
    erence
    -0.57
     locals
    -0.57
    ian
    -0.56
     deceased
    -0.56
     alike
    -0.56
    POSITIVE LOGITS
     trouble
    0.97
    itialized
    0.94
    ked
    0.76
    jected
    0.76
     bed
    0.75
     grips
    0.74
     mischief
    0.72
    offensive
    0.71
     contention
    0.70
    clusion
    0.70
    Activations Density 0.040%

    No Known Activations