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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. 7-RES-JB
    11. 14420
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    Explanations

    jargon related to technical terms or product specifications

    oai_token-act-pair · gpt-3.5-turbo

    specific patterns or structures related to flips and reports, particularly in contexts involving art and research

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ufact
    -0.99
     looph
    -0.74
    querque
    -0.71
    PDATE
    -0.69
    angelo
    -0.69
    ÃįÃį
    -0.69
     citiz
    -0.68
    »Ĵ
    -0.67
    SEA
    -0.66
    âĸ¬
    -0.66
    POSITIVE LOGITS
    izont
    0.75
    istan
    0.66
    multipl
    0.61
    atche
    0.60
     Telescope
    0.59
     LEDs
    0.59
     centrif
    0.58
    ®
    0.57
     lights
    0.57
     XT
    0.57
    Activations Density 0.766%

    No Known Activations