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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. 4-RES-JB
    11. 13709
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    Explanations

    terms related to technical aspects like video-on-demand services, production formats, and financial conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negative aspects or consequences

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

    No Comments

    Negative Logits
     Dickinson
    -0.73
     Norris
    -0.66
     Vaugh
    -0.58
     incorpor
    -0.55
    ulhu
    -0.55
     rul
    -0.53
     Vaughan
    -0.53
     Arabian
    -0.53
     Burr
    -0.52
     Rica
    -0.51
    POSITIVE LOGITS
    sized
    0.93
    based
    0.91
    level
    0.87
    themed
    0.83
    backed
    0.83
    oriented
    0.79
    style
    0.79
    type
    0.79
    scale
    0.78
    friendly
    0.77
    Activations Density 0.208%

    No Known Activations