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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
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    Explanations

    terms related to heavy objects or industries

    oai_token-act-pair · gpt-3.5-turbo

    the term "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
    é»Ĵ
    -0.94
    DragonMagazine
    -0.82
    ipt
    -0.80
    çīĪ
    -0.75
    ifice
    -0.72
    uable
    -0.71
     Gould
    -0.69
    HCR
    -0.69
    null
    -0.68
    UST
    -0.68
    POSITIVE LOGITS
    weights
    1.36
    weight
    1.29
     Duty
    0.94
    metal
    0.94
     duty
    0.89
    ener
    0.89
     hitter
    0.82
     lifting
    0.81
     hitters
    0.79
     metals
    0.77
    Activations Density 0.010%

    No Known Activations