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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. 5059
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    Explanations

    terms related to prehistoric animals

    oai_token-act-pair · gpt-3.5-turbo

    words related to mastodons and malt

    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
    aways
    -0.74
    arbon
    -0.72
    away
    -0.71
     Origin
    -0.64
     Franch
    -0.64
     Quit
    -0.62
    \\\\\\\\
    -0.61
    melon
    -0.61
    esson
    -0.60
     Grande
    -0.60
    POSITIVE LOGITS
    odon
    0.90
    adish
    0.89
    brance
    0.77
    ropolitan
    0.74
    emonic
    0.71
    hum
    0.71
    iple
    0.69
    istrate
    0.69
     mast
    0.69
    pas
    0.68
    Activations Density 0.067%

    No Known Activations