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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. 9-RES-JB
    11. 5481
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    Explanations

    words related to waves, such as "wave", "peaks", and "troughs"

    oai_token-act-pair · gpt-3.5-turbo

    references to waves, particularly in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivia
    -0.81
    uments
    -0.80
    ioch
    -0.77
    orate
    -0.72
    ancies
    -0.71
    mingham
    -0.71
    IVES
    -0.70
    heid
    -0.70
    oses
    -0.69
    shire
    -0.68
    POSITIVE LOGITS
    guide
    1.06
    form
    1.05
    rers
    1.04
    forms
    1.00
    front
    0.95
    arthed
    0.80
    forming
    0.77
    stakes
    0.76
    tro
    0.76
    wave
    0.74
    Activations Density 0.058%

    No Known Activations