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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. 9-RES-JB
    11. 1481
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    Explanations

    words related to providing reassurance or comfort

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to assurance and notifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    adesh
    -0.73
    rosso
    -0.69
    mite
    -0.68
    bard
    -0.68
    artifacts
    -0.65
    fman
    -0.65
     sidx
    -0.64
    querque
    -0.64
    arthy
    -0.64
    egal
    -0.64
    POSITIVE LOGITS
     us
    1.19
     readers
    1.14
     customers
    1.10
     viewers
    1.09
     everyone
    1.01
     him
    1.01
     listeners
    0.99
     patrons
    0.97
     passers
    0.95
     backers
    0.94
    Activations Density 0.138%

    No Known Activations