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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. 3-RES-JB
    11. 24226
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    INDEX
    Explanations

    descriptions or mentions of large-scale entities or phenomena

    oai_token-act-pair · gpt-3.5-turbo

    usage of the word "large" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ople
    -0.77
    çīĪ
    -0.74
    emy
    -0.69
    lik
    -0.68
    Cert
    -0.68
    CB
    -0.67
    Reviewed
    -0.67
    onto
    -0.67
     Bleach
    -0.67
    utenant
    -0.66
    POSITIVE LOGITS
     sized
    1.05
     intestine
    1.05
     scale
    1.00
     quantities
    0.99
     amounts
    0.95
     (>
    0.92
     enough
    0.85
     swat
    0.85
     proport
    0.85
     chunk
    0.84
    Activations Density 0.035%

    No Known Activations