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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. 9-RES-JB
    6. 18482
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    Explanations

    interesting or surprising statements

    oai_token-act-pair · gpt-3.5-turbo

    instances of transition words and phrases that introduce additional information or commentary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ////////////////
    -0.75
    ature
    -0.73
    akable
    -0.73
    ãĥİ
    -0.68
    arching
    -0.68
     throats
    -0.67
    eur
    -0.65
    Bind
    -0.65
    visory
    -0.64
    ´
    -0.64
    POSITIVE LOGITS
     despite
    0.81
     mention
    0.77
     though
    0.75
     neither
    0.75
     mentions
    0.73
     none
    0.73
     interestingly
    0.71
     although
    0.70
     Amp
    0.70
     moreover
    0.69
    Activations Density 0.254%

    No Known Activations