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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. 0-RES-JB
    11. 609
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    Explanations

    phrases related to strong and forceful actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lash" and its variations, indicating expressions of strong reaction or criticism

    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
    umen
    -0.69
     legality
    -0.66
     procedural
    -0.63
    maps
    -0.63
    igham
    -0.61
     negotiation
    -0.61
     practical
    -0.60
     assignments
    -0.60
     confusion
    -0.59
     Payne
    -0.59
    POSITIVE LOGITS
     lash
    2.16
     lashes
    1.46
     lashed
    1.46
    izen
    0.75
    cars
    0.73
    Redditor
    0.68
    oft
    0.68
     targ
    0.66
     tyr
    0.65
     airst
    0.65
    Activations Density 0.002%

    No Known Activations