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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. 10-RES-JB
    11. 17403
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    Explanations

    phrases related to business and finance

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to investment considerations and recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ©
    -1.04
    ãĤ¨ãĥ«
    -0.90
    ocaly
    -0.82
    eteenth
    -0.82
    imester
    -0.80
     pione
    -0.77
    Synopsis
    -0.76
    ãĥ´ãĤ¡
    -0.75
     exting
    -0.75
    ãĤ´ãĥ³
    -0.75
    POSITIVE LOGITS
     theirs
    1.23
     THEIR
    1.09
     THEY
    1.07
     ours
    0.97
     they
    0.96
     their
    0.93
     Their
    0.90
     yours
    0.88
     They
    0.84
     devs
    0.84
    Activations Density 0.988%

    No Known Activations