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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. 8-RES-JB
    11. 2332
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    Explanations

    commands or instructions related to creating or initiating specific actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    commands or phrases related to creating something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    duty
    -0.76
    phia
    -0.71
    EGA
    -0.69
    ishops
    -0.68
    ni
    -0.68
     WATCHED
    -0.65
    say
    -0.65
     Gunn
    -0.64
    gnu
    -0.62
    iere
    -0.62
    POSITIVE LOGITS
     havoc
    0.85
    女
    0.77
     anew
    0.76
    Space
    0.73
    ãĥ¼ãĥĨãĤ£
    0.71
    unique
    0.71
     hybrids
    0.70
    idable
    0.69
    ilts
    0.68
    Instance
    0.68
    Activations Density 0.071%

    No Known Activations