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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. 23475
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    Explanations

    phrases related to expressing requirements or necessities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "needs."

    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©Ł
    -0.62
    thumbnails
    -0.61
    owler
    -0.61
     skiing
    -0.59
    gdala
    -0.59
    onymous
    -0.58
    uclear
    -0.57
    onyms
    -0.57
    oller
    -0.56
    shock
    -0.56
    POSITIVE LOGITS
    afety
    0.85
    omething
    0.82
    HAEL
    0.81
    lessly
    0.75
    cale
    0.75
    afe
    0.74
    pace
    0.68
    ICLE
    0.68
    anamo
    0.67
    ucker
    0.67
    Activations Density 0.039%

    No Known Activations