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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. 11-RES-JB
    6. 8232
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    INDEX
    Explanations

    the phrase "far and wide."

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    manship
    -0.76
    reply
    -0.70
     partName
    -0.69
    rimination
    -0.67
    ropri
    -0.65
    ivals
    -0.65
    activation
    -0.64
    imaru
    -0.64
    âĨij
    -0.64
    development
    -0.63
    POSITIVE LOGITS
     behold
    0.90
     wide
    0.87
     dear
    0.84
     dearly
    0.77
     parcel
    0.74
     foremost
    0.73
     gone
    0.73
    Interstitial
    0.73
     truly
    0.70
     fullest
    0.70
    Activations Density 0.072%

    No Known Activations