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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. 4253
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    Explanations

    phrases relating to the concept of amplification or increase

    oai_token-act-pair · gpt-3.5-turbo

    terms related to excitement or intensity

    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
    ryu
    -0.78
    chard
    -0.73
    ģĸ
    -0.72
    frame
    -0.67
    lev
    -0.67
    ©¶æ
    -0.65
    bis
    -0.65
     Kers
    -0.63
    fman
    -0.63
    BLIC
    -0.62
    POSITIVE LOGITS
    shire
    0.79
    etr
    0.78
    aic
    0.74
    amped
    0.73
    usa
    0.73
    ione
    0.71
    owered
    0.71
    angelo
    0.70
    ropolitan
    0.69
    ilit
    0.68
    Activations Density 0.008%

    No Known Activations