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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. 4209
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    INDEX
    Explanations

    comparisons between different options, decisions, or situations

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases that assess value or quality

    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
    DM
    -0.82
    ©¶æ¥µ
    -0.81
    agram
    -0.77
    paper
    -0.67
    DL
    -0.66
     Dog
    -0.65
    je
    -0.64
     Saga
    -0.64
    ongo
    -0.64
    tub
    -0.63
    POSITIVE LOGITS
     positives
    1.15
     thrive
    1.07
     successes
    0.98
     triumph
    0.95
     boon
    0.93
     triumphant
    0.93
     prosper
    0.92
     paradise
    0.90
     riches
    0.90
     joyful
    0.90
    Activations Density 0.291%

    No Known Activations