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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    editorial notes or comments

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

    No Comments

    Negative Logits
    cest
    -0.78
     dirt
    -0.75
    milo
    -0.72
    dest
    -0.69
    igree
    -0.69
     spokes
    -0.68
    rendered
    -0.67
     simulated
    -0.67
    pload
    -0.67
     wrecked
    -0.67
    POSITIVE LOGITS
    ATURE
    0.85
     NOTE
    0.84
     note
    0.80
    BOOK
    0.77
     --------
    0.76
     EDIT
    0.76
    .>>
    0.75
     Editorial
    0.74
     Quantity
    0.73
    book
    0.71
    Activations Density 0.021%

    No Known Activations