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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. 11093
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    Explanations

    number sequences composed of specific digits

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values and statistics

    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
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    No Comments

    Negative Logits
    ezvous
    -0.78
    orius
    -0.75
    gets
    -0.70
     Micha
    -0.63
     GOODMAN
    -0.63
    gie
    -0.62
    hya
    -0.62
    rich
    -0.61
    hran
    -0.61
    clud
    -0.61
    POSITIVE LOGITS
     ILCS
    1.05
    ULT
    0.92
    00
    0.86
    pmwiki
    0.84
    balls
    0.80
    «ĺ
    0.78
    OUNT
    0.75
    ength
    0.75
    00000
    0.74
    ãĥī
    0.73
    Activations Density 0.082%

    No Known Activations