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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. 3722
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    Explanations

    phrases related to learning, involvement, and realization

    oai_token-act-pair · gpt-3.5-turbo

    instances of learning or discovery

    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
    wayne
    -0.76
     dstg
    -0.67
    GP
    -0.61
     ..............
    -0.60
    aminer
    -0.60
    onga
    -0.59
    ogly
    -0.57
    uffer
    -0.57
    luster
    -0.57
     Gadget
    -0.56
    POSITIVE LOGITS
     shortly
    0.74
     Wednesday
    0.72
     Thursday
    0.68
    undy
    0.65
    æ©
    0.65
     Tuesday
    0.62
     soon
    0.62
     Friday
    0.61
     Monday
    0.61
     Debor
    0.61
    Activations Density 1.201%

    No Known Activations