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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. 23538
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    INDEX
    Explanations

    requests or prompts to display content, particularly focused on newsletters

    oai_token-act-pair · gpt-3.5-turbo

    mention of television shows

    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
    etheless
    -1.06
    fortunately
    -0.73
    undai
    -0.72
    successfully
    -0.72
    assing
    -0.71
     bilingual
    -0.71
    xtap
    -0.71
     derivative
    -0.70
    icultural
    -0.69
    ilingual
    -0.69
    POSITIVE LOGITS
    biz
    1.24
    case
    1.05
     Tycoon
    1.04
    cases
    1.02
    hide
    1.00
    alter
    1.00
    runners
    0.98
    Hide
    0.91
    grounds
    0.91
    runner
    0.88
    Activations Density 0.030%

    No Known Activations