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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. 9-RES-JB
    6. 16924
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    Explanations

    actions or events involving physical movement of people within a given space

    oai_token-act-pair · gpt-3.5-turbo

    actions or events related to arrivals and movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.77
    inen
    -0.69
    RT
    -0.69
     breadth
    -0.67
     reliance
    -0.64
    avy
    -0.63
    icably
    -0.61
    iquid
    -0.60
     avoided
    -0.59
    phabet
    -0.58
    POSITIVE LOGITS
     intervene
    0.81
     beside
    0.77
     beck
    0.76
     downstairs
    0.74
     demanding
    0.73
     barking
    0.73
     omin
    0.69
     evict
    0.68
     pressuring
    0.68
     yelling
    0.67
    Activations Density 0.312%

    No Known Activations