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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. 5695
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    Explanations

    phrases related to a wide variety or assortment of items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a variety of options or topics

    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
    ©¶æ
    -0.93
    CHA
    -0.72
     Doodle
    -0.66
    cknowled
    -0.66
     Dull
    -0.64
    Instruct
    -0.62
    iga
    -0.61
    raped
    -0.60
     incent
    -0.59
    agate
    -0.59
    POSITIVE LOGITS
    ortment
    0.84
     range
    0.76
    range
    0.75
     breadth
    0.72
     (>
    0.72
     variety
    0.68
     quantity
    0.67
    entimes
    0.67
    rand
    0.66
    eatured
    0.65
    Activations Density 0.074%

    No Known Activations