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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. 7-RES-JB
    11. 2066
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    INDEX
    Explanations

    comparisons with a specific item or concept identified by the phrase "the [item/concept]."

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" with varying frequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     besides
    -0.79
     Became
    -0.77
    abel
    -0.70
     flanked
    -0.70
    ãĥ»
    -0.69
    iband
    -0.67
    amar
    -0.67
     followed
    -0.66
    fw
    -0.66
    rand
    -0.65
    POSITIVE LOGITS
     rest
    1.34
     usual
    1.23
     slightest
    1.14
     aforementioned
    1.13
     entirety
    1.12
     remainder
    1.06
     ones
    1.02
     latter
    1.02
     proverbial
    1.02
    ses
    1.00
    Activations Density 0.230%

    No Known Activations