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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. 17195
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    INDEX
    Explanations

    verbs related to actions and instructions

    oai_token-act-pair · gpt-3.5-turbo

    action verbs associated with tasks, processes, and outcomes

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    peak
    -0.65
    utenberg
    -0.61
     Hearing
    -0.59
    DIV
    -0.56
     Compensation
    -0.55
     withd
    -0.54
    emale
    -0.53
     Hurricanes
    -0.53
    vous
    -0.53
    uzzle
    -0.52
    POSITIVE LOGITS
    ings
    1.31
    able
    1.26
    ables
    1.21
    ability
    1.03
    backs
    1.02
    ers
    0.99
    aways
    0.95
    ments
    0.90
    ties
    0.90
    away
    0.88
    Activations Density 0.872%

    No Known Activations