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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. 7856
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    INDEX
    Explanations

    phrases indicating emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases beginning with "not only do" that indicate causation or consequence

    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
    bite
    -0.79
    circle
    -0.71
    mask
    -0.71
    cember
    -0.69
    Enlarge
    -0.69
    blown
    -0.67
    holder
    -0.66
    BIT
    -0.66
    cius
    -0.65
    rentices
    -0.65
    POSITIVE LOGITS
    hetical
    0.64
    ources
    0.62
    omical
    0.60
     Shooter
    0.59
    ãĤ·ãĥ£
    0.57
     doi
    0.57
    ometric
    0.55
     Stein
    0.55
     Foo
    0.54
    9999
    0.54
    Activations Density 0.027%

    No Known Activations