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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. 17894
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    Explanations

    numbers with some level of significance

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and percentages

    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
     Coch
    -0.69
     Faul
    -0.63
     ag
    -0.61
     Briggs
    -0.60
     Hawth
    -0.59
     Boyd
    -0.58
     Ag
    -0.56
     Clint
    -0.55
     Gat
    -0.55
     Cannon
    -0.54
    POSITIVE LOGITS
    âĢ²
    0.70
     ILCS
    0.69
    ourney
    0.69
     consecutive
    0.65
     Reasons
    0.62
    utenberg
    0.61
     disparate
    0.61
     devote
    0.60
    %-
    0.60
    dfx
    0.60
    Activations Density 0.207%

    No Known Activations