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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9077
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    INDEX
    Explanations

    the name "Cousins" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and organizations, particularly sports figures and statistical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oku
    -0.75
    ock
    -0.72
    dog
    -0.71
    Beck
    -0.70
    ument
    -0.67
    ocking
    -0.64
     Friedman
    -0.63
    req
    -0.63
    ishment
    -0.62
    nings
    -0.61
    POSITIVE LOGITS
    annabin
    0.72
    ensis
    0.71
     Cousins
    0.70
    grave
    0.70
    ursive
    0.69
    entric
    0.69
     whiff
    0.68
    itate
    0.68
    rouch
    0.67
    illian
    0.67
    Activations Density 0.047%

    No Known Activations