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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. 9429
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    Explanations

    words related to physical descriptions or characteristics, particularly focusing on specifying and describing something

    oai_token-act-pair · gpt-3.5-turbo

    words related to expectations and perspectives

    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
    cedes
    -0.72
    EStreamFrame
    -0.68
    educ
    -0.68
     exhausting
    -0.66
     distracting
    -0.64
    pmwiki
    -0.63
    Alice
    -0.63
    CVE
    -0.62
    lishes
    -0.62
    College
    -0.62
    POSITIVE LOGITS
    olate
    1.00
    orate
    0.99
    sson
    0.94
    urity
    0.93
    terness
    0.90
    lihood
    0.90
    pect
    0.90
    ivities
    0.88
    ology
    0.87
    ations
    0.87
    Activations Density 0.018%

    No Known Activations