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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. 1-RES-JB
    11. 1048
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    INDEX
    Explanations

    words related to living in an environment shaped by modern man

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly related to quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stone
    -0.82
    ilant
    -0.75
    imer
    -0.72
    MAP
    -0.69
    stones
    -0.66
    guards
    -0.63
    orsi
    -0.62
    eyes
    -0.62
    yard
    -0.61
    look
    -0.60
    POSITIVE LOGITS
     Disorder
    0.67
    ku
    0.67
    onis
    0.66
    livion
    0.64
    udeb
    0.63
    ersion
    0.63
    ament
    0.60
    erv
    0.59
    ession
    0.59
     Olivia
    0.58
    Activations Density 0.000%

    No Known Activations