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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. 2-RES-JB
    6. 10878
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    Explanations

    information or items listed as the first step or initial point

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "starters."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asca
    -0.78
    erry
    -0.73
    oÄŁ
    -0.71
    ilated
    -0.71
    orate
    -0.71
    ipl
    -0.69
    redit
    -0.68
     Neurolog
    -0.68
    orie
    -0.68
    fax
    -0.67
    POSITIVE LOGITS
     starters
    0.97
    starter
    0.87
    starting
    0.85
     starter
    0.79
     pitchers
    0.79
     offender
    0.76
    \<
    0.73
     thereof
    0.71
    éļ
    0.70
    pring
    0.69
    Activations Density 0.003%

    No Known Activations