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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. 6-RES-JB
    11. 7249
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    Explanations

    phrases indicating permission or capability

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential or conditional scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edin
    -0.71
     Notting
    -0.70
     Carlton
    -0.70
    arts
    -0.66
    nect
    -0.65
     Slug
    -0.65
    ynski
    -0.64
     Rebell
    -0.63
    soever
    -0.62
    lass
    -0.61
    POSITIVE LOGITS
    gery
    0.84
    rocal
    0.83
     speedy
    0.82
     extra
    0.81
     instant
    0.80
     greater
    0.79
     additional
    0.78
    geries
    0.77
    ogeneity
    0.77
     rapid
    0.76
    Activations Density 0.055%

    No Known Activations