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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. 6-RES-JB
    11. 7083
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    Explanations

    references such as citations and numbers within square brackets

    oai_token-act-pair · gpt-3.5-turbo

    references to lists or numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĵĺ
    -0.73
     cradle
    -0.68
    ordial
    -0.67
    anus
    -0.66
    userc
    -0.64
     basics
    -0.64
    aband
    -0.63
    odo
    -0.61
    ikuman
    -0.61
     sway
    -0.60
    POSITIVE LOGITS
     However
    1.04
     Additionally
    0.98
     Similarly
    0.93
     Conversely
    0.92
     Likewise
    0.91
     Furthermore
    0.90
     Nevertheless
    0.88
     Alternatively
    0.85
     Therefore
    0.85
     Later
    0.84
    Activations Density 0.056%

    No Known Activations