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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 24269
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    enumerated list items or points made in a discussion

    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
    alian
    -0.71
    edi
    -0.70
    izz
    -0.69
    bern
    -0.68
    yle
    -0.66
    ulla
    -0.66
     grocer
    -0.65
    buck
    -0.63
    sta
    -0.63
     dictionary
    -0.60
    POSITIVE LOGITS
    ãĤ´ãĥ³
    0.76
    ————————
    0.71
     Syndicate
    0.68
     [+
    0.68
    ————————————————
    0.67
    ————
    0.66
     Quit
    0.65
     Prot
    0.65
     Prol
    0.63
     Releases
    0.63
    Activations Density 0.019%

    No Known Activations