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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. 3-RES-JB
    11. 19996
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    oai_token-act-pair · gpt-3.5-turbo

    references to licensing and permits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Samoa
    -0.97
    ãĥ¯ãĥ³
    -0.77
    ORGE
    -0.73
     Lans
    -0.73
     Annotations
    -0.71
     Alma
    -0.70
     Canterbury
    -0.69
    schild
    -0.68
     Bengal
    -0.68
     Forsaken
    -0.68
    POSITIVE LOGITS
    ensing
    1.45
    enses
    1.20
    ensed
    1.06
    entious
    1.04
     lic
    1.02
    enced
    1.00
    anc
    1.00
    ence
    0.95
    eno
    0.93
    ornia
    0.92
    Activations Density 0.007%

    No Known Activations