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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. 3-RES-JB
    11. 8804
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    Explanations

    words related to cuts or reductions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of "cuts," particularly when discussing changes or reductions in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kindred
    -0.65
    afort
    -0.64
    QB
    -0.64
    ¯¯
    -0.61
    cells
    -0.60
    ebook
    -0.59
    agher
    -0.59
     Peninsula
    -0.59
    fman
    -0.58
     cogn
    -0.57
    POSITIVE LOGITS
    uts
    1.03
    atis
    1.02
    opian
    0.99
    nikov
    0.93
    ierrez
    0.91
    nesday
    0.87
    eness
    0.86
    ileaks
    0.86
    kin
    0.84
    cheon
    0.84
    Activations Density 0.007%

    No Known Activations