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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
    11. 16563
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    Explanations

    words related to mass or physical quantity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mass and potentially grouped identities

    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
     parentheses
    -0.67
     Cere
    -0.66
     Symb
    -0.66
     Donovan
    -0.64
     nasal
    -0.63
     ceramic
    -0.63
     bark
    -0.62
    utral
    -0.62
     Root
    -0.62
     Ajax
    -0.62
    POSITIVE LOGITS
    mass
    3.71
    hom
    1.27
    doms
    1.19
    staff
    1.16
    belt
    1.16
    handle
    1.14
    lab
    1.14
    mast
    1.09
    rail
    1.09
    weight
    1.08
    Activations Density 0.028%

    No Known Activations