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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. 4-RES-JB
    11. 22043
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    Explanations

    adjectives related to describing physical weight or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the adjective "heavy" in various contexts

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

    No Comments

    Negative Logits
    DragonMagazine
    -0.86
     Machina
    -0.84
    sure
    -0.76
    arthed
    -0.76
    tein
    -0.72
    çīĪ
    -0.71
    Ĥİ
    -0.71
    arium
    -0.70
    sis
    -0.70
    otiation
    -0.70
    POSITIVE LOGITS
    weights
    1.57
     hitters
    1.17
     lifting
    1.11
    weight
    1.09
     hitter
    1.09
     duty
    1.07
     heavier
    1.00
     weights
    0.99
     metals
    0.98
     heaviest
    0.95
    Activations Density 0.016%

    No Known Activations