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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. 8861
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    Explanations

    phrases related to specific names or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to names or titles, particularly related to programs or events

    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
    icultural
    -0.72
    jandro
    -0.64
    iculture
    -0.62
    enhagen
    -0.61
    heast
    -0.61
    orgetown
    -0.60
    ugal
    -0.59
    athe
    -0.59
    isal
    -0.59
    hesda
    -0.59
    POSITIVE LOGITS
     coined
    0.93
     shorthand
    0.91
     abbre
    0.90
     abbrevi
    0.89
     acronym
    0.86
     meaning
    0.85
    named
    0.83
    pron
    0.83
     Meaning
    0.81
     aka
    0.79
    Activations Density 0.262%

    No Known Activations