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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. 6-RES-JB
    11. 4292
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    Explanations

    phrases related to concepts or locations called "lines of [something]"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve "lines of" followed by various concepts such as logic, defense, questioning, and business

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.85
    Reviewer
    -0.77
    PDATE
    -0.77
    irlfriend
    -0.73
    EGIN
    -0.73
    âĻ¥
    -0.71
     paran
    -0.68
    EEK
    -0.68
    DAY
    -0.68
    IENCE
    -0.66
    POSITIVE LOGITS
     scrimmage
    0.91
    endant
    0.73
    ortium
    0.65
     intersection
    0.64
    naire
    0.63
    ardless
    0.62
    ature
    0.62
    stra
    0.62
    otomy
    0.61
    arius
    0.61
    Activations Density 0.060%

    No Known Activations