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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. 8-RES-JB
    11. 17120
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    Explanations

    terms related to economic concepts like "cap and trade" and financial organizations like "Standard & Poor's"

    oai_token-act-pair · gpt-3.5-turbo

    references to regulatory bodies and trade agreements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sbm
    -0.83
    ĸļ
    -0.79
     sts
    -0.66
    united
    -0.65
    zag
    -0.62
     carts
    -0.60
    heed
    -0.59
     swe
    -0.59
     chalk
    -0.58
     slit
    -0.57
    POSITIVE LOGITS
    cially
    0.90
    bia
    0.72
    rosso
    0.70
    aple
    0.68
    uously
    0.67
    uese
    0.67
    lished
    0.66
    Aff
    0.66
    NI
    0.64
    rast
    0.63
    Activations Density 0.283%

    No Known Activations