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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. 14412
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    Explanations

    descriptions of actions at the beginning or starting point of a process

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate starting points or beginnings of events

    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
    rf
    -0.69
     Chef
    -0.67
     Extensions
    -0.66
    helm
    -0.66
    Kids
    -0.65
    rom
    -0.65
     Gloves
    -0.65
     Cth
    -0.65
    roller
    -0.64
     Diseases
    -0.64
    POSITIVE LOGITS
     blush
    0.91
     responders
    0.83
     conceived
    0.81
     plotted
    0.77
     glance
    0.77
     hesitated
    0.76
     appeared
    0.75
     stages
    0.75
     attracted
    0.74
     hes
    0.74
    Activations Density 0.021%

    No Known Activations