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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. 11-RES-JB
    11. 14384
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    INDEX
    Explanations

    descriptions of personal experiences or emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions describing experiences and feelings

    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
    gemony
    -0.70
    eatures
    -0.67
    farious
    -0.65
    aughtered
    -0.64
    rocket
    -0.64
    facebook
    -0.64
    gio
    -0.62
    asus
    -0.61
    olitan
    -0.61
     Courier
    -0.60
    POSITIVE LOGITS
     watching
    1.22
     navigating
    1.15
     seeing
    1.12
     knowing
    1.10
     waking
    1.09
     juggling
    1.06
     walking
    1.05
     remembering
    1.04
     having
    1.01
     figuring
    1.00
    Activations Density 0.183%

    No Known Activations