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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. 17002
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    Explanations

    references to manuals or instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to "manual" processes or documents

    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
    nces
    -0.88
    apest
    -0.77
    rug
    -0.70
    ãĤ¤ãĥĪ
    -0.70
    rine
    -0.69
    adding
    -0.69
    our
    -0.69
    ments
    -0.68
    roud
    -0.67
    orkshire
    -0.67
    POSITIVE LOGITS
     dexterity
    1.13
     typew
    0.96
     transmission
    0.94
     laborers
    0.79
     readable
    0.77
     transmissions
    0.77
     override
    0.76
     circ
    0.75
    ized
    0.73
     labou
    0.70
    Activations Density 0.022%

    No Known Activations