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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. 18017
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    Explanations

    financial thresholds or limits

    oai_token-act-pair · gpt-3.5-turbo

    monetary thresholds or income-related limits

    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
    roller
    -0.66
    arte
    -0.64
    NEY
    -0.60
     ITV
    -0.59
    PDATE
    -0.59
    ibur
    -0.58
    taboola
    -0.57
    hyde
    -0.55
     fir
    -0.55
     Dynamics
    -0.54
    POSITIVE LOGITS
     5000
    0.81
    idth
    0.79
    onyms
    0.78
     specified
    0.78
    normal
    0.76
     1000
    0.75
     500
    0.74
     ½
    0.74
     100
    0.73
     10000
    0.73
    Activations Density 0.141%

    No Known Activations