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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. 9-RES-JB
    11. 4143
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    Explanations

    words related to the beginning or starting of events or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the initiation or commencement of actions or events

    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
    ighth
    -0.66
    aths
    -0.64
    izontal
    -0.63
     Britann
    -0.60
    é¾įå
    -0.60
    è£ħ
    -0.59
    aiden
    -0.58
     Utilities
    -0.58
    ordinate
    -0.57
    pload
    -0.57
    POSITIVE LOGITS
     creeping
    0.89
     unravel
    0.88
     anew
    0.85
     behaving
    0.85
     disappearing
    0.82
     crumbling
    0.79
     leaking
    0.78
     trending
    0.77
     popping
    0.77
     piling
    0.76
    Activations Density 0.088%

    No Known Activations