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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
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    Explanations

    mentions of the term "mid"

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with mid-level classifications or contexts and the repeated mention of a specific individual, Morales

    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
     motion
    -0.72
     Greenwood
    -0.63
     store
    -0.61
     Whit
    -0.60
     overt
    -0.59
     newspaper
    -0.58
     Plymouth
    -0.58
     sh
    -0.58
     Penny
    -0.57
    Spring
    -0.57
    POSITIVE LOGITS
    mid
    2.33
     Morales
    1.57
    cé
    1.35
    death
    1.31
    mare
    1.17
    dropping
    1.09
    bone
    1.06
    lov
    1.01
    imo
    1.00
    dro
    0.99
    Activations Density 0.022%

    No Known Activations