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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. 1574
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    Explanations

    specific references to newspapers and news organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to news organizations and their content

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ierre
    -0.73
     CoC
    -0.70
     Turing
    -0.69
    igham
    -0.69
    Ô
    -0.64
    amiya
    -0.64
    ãĤ¶
    -0.60
    odynamics
    -0.59
    ritch
    -0.58
     duct
    -0.58
    POSITIVE LOGITS
    yahoo
    0.77
     Newsp
    0.76
    leases
    0.69
    nb
    0.69
    riage
    0.65
    rage
    0.63
    umbn
    0.63
    ahs
    0.62
     commentary
    0.62
    clinton
    0.62
    Activations Density 0.181%

    No Known Activations