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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. 20039
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    Explanations

    large numbers or quantities expressed in terms of money, time, or measurement units

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measures related to money, time, and weight

    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
    141
    -0.64
     ãĤµ
    -0.62
    arton
    -0.62
    asma
    -0.61
    041
    -0.58
    728
    -0.58
    amaz
    -0.58
    465
    -0.57
    237
    -0.55
    ãĤ¦ãĤ¹
    -0.55
    POSITIVE LOGITS
    depending
    0.93
     depending
    0.90
     annually
    0.82
    agos
    0.64
     affected
    0.62
    %%
    0.62
     backlog
    0.62
    iler
    0.60
     each
    0.58
    pees
    0.58
    Activations Density 0.265%

    No Known Activations