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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. 6732
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    Explanations

    adjectives related to minimalism

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to minimalism or "bare" attributes and their implications

    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
    alore
    -0.82
    xon
    -0.76
    nesday
    -0.69
    lished
    -0.68
    geist
    -0.67
    heast
    -0.67
    iets
    -0.65
    iewicz
    -0.64
    ernaut
    -0.63
    ESE
    -0.62
    POSITIVE LOGITS
    clad
    0.68
     necessity
    0.63
    COMPLE
    0.63
     tet
    0.62
     Isaac
    0.61
     brim
    0.58
     snowy
    0.57
     bread
    0.56
     pen
    0.56
     calculus
    0.56
    Activations Density 0.284%

    No Known Activations