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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 20737
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    Explanations

    proper nouns specifically related to Twitter handles

    oai_token-act-pair · gpt-3.5-turbo

    references to "TW" or variations thereof, possibly indicating topics related to a specific entity or subject tied to that abbreviation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rador
    -0.71
    itiveness
    -0.69
    unit
    -0.65
    isman
    -0.63
    HUD
    -0.61
    osal
    -0.61
    aram
    -0.61
    channelAvailability
    -0.60
    ĸ
    -0.60
    hazard
    -0.59
    POSITIVE LOGITS
     Tw
    3.80
    Tw
    1.86
     tw
    1.81
     TW
    1.71
    tw
    1.63
     Twist
    1.33
     Twisted
    1.31
    TW
    1.22
     Twe
    1.15
     Tenth
    1.07
    Activations Density 0.020%

    No Known Activations