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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. 3779
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    Explanations

    phrases indicating understanding or grasp of a concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating perception or understanding

    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
    die
    -0.75
     Cosmos
    -0.68
    atri
    -0.67
     Bulgar
    -0.67
    bees
    -0.66
     disbanded
    -0.65
    aucuses
    -0.63
     discontinued
    -0.62
    atu
    -0.61
    ahu
    -0.59
    POSITIVE LOGITS
     glimpse
    0.85
     glim
    0.82
     glimps
    0.78
     firsthand
    0.78
     hint
    0.76
     approximation
    0.73
     impression
    0.73
     thereof
    0.72
     hints
    0.70
     whats
    0.70
    Activations Density 0.174%

    No Known Activations