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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. 4-RES-JB
    11. 2708
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    Explanations

    numerical ranges or percentages in text

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to ranges or statistics

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

    Negative Logits
    estate
    -0.71
    pain
    -0.63
    hower
    -0.61
    retty
    -0.60
    iances
    -0.60
    ilyn
    -0.59
    wordpress
    -0.59
    push
    -0.59
    pak
    -0.57
     Catalonia
    -0.57
    POSITIVE LOGITS
    mph
    0.81
    osterone
    0.72
    HK
    0.68
    PM
    0.68
     mph
    0.65
     sidx
    0.65
    MJ
    0.64
    PF
    0.64
     HRC
    0.64
    acters
    0.63
    Activations Density 0.098%

    No Known Activations