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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. 7-RES-JB
    6. 17401
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    Explanations

    phrases that involve starting or transitioning to something new or different

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating expansion or development

    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
     Gw
    -0.68
    usercontent
    -0.66
    utch
    -0.65
    iewicz
    -0.61
    pell
    -0.60
     Mug
    -0.60
     yuan
    -0.60
    ouri
    -0.59
    rolet
    -0.58
    cash
    -0.58
    POSITIVE LOGITS
     secondly
    1.15
     thereafter
    0.98
     followed
    0.98
     gradually
    0.94
    Secondly
    0.93
    Phase
    0.88
     Secondly
    0.82
     progressed
    0.78
     progressively
    0.77
     foremost
    0.77
    Activations Density 0.452%

    No Known Activations