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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
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    Explanations

    terms related to objects or actions that are physically heavy

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "heavy."

    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
    DragonMagazine
    -0.86
    çīĪ
    -0.78
     Machina
    -0.77
    tein
    -0.77
    HCR
    -0.74
    ILLE
    -0.72
    IRO
    -0.71
    sure
    -0.71
    iru
    -0.71
    ffe
    -0.71
    POSITIVE LOGITS
    weights
    1.51
     hitters
    1.13
    weight
    1.12
     hitter
    1.09
     duty
    1.09
     weights
    1.03
     heavier
    1.02
     metals
    1.00
     lifting
    0.99
     heaviest
    0.98
    Activations Density 0.018%

    No Known Activations