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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. 2-RES-JB
    11. 18762
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    Explanations

    commands to refer to specific sections or parts of a text (e.g., see figure above, see below)

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "see."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.83
    ascal
    -0.80
    aced
    -0.71
    ayers
    -0.67
    prime
    -0.66
     impression
    -0.64
    icum
    -0.61
    arc
    -0.61
    determination
    -0.60
    onz
    -0.59
    POSITIVE LOGITS
     whence
    0.85
     supra
    0.83
    KER
    0.82
    geoning
    0.76
    eworthy
    0.75
    WARD
    0.74
     whats
    0.73
    seeing
    0.72
    hen
    0.72
     See
    0.72
    Activations Density 0.036%

    No Known Activations