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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. 6996
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    Explanations

    words related to places or people's names

    oai_token-act-pair · gpt-3.5-turbo

    specific combinations of vowels and syllabic patterns in words

    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
    Not in Any Lists

    No Comments

    Negative Logits
    INAL
    -0.87
    PDATE
    -0.77
    ãĥ¯ãĥ³
    -0.72
    actionDate
    -0.71
    ãĤ©
    -0.68
    ADRA
    -0.66
    ¬
    -0.66
    AUD
    -0.65
    ãĥ©ãĥ³
    -0.64
    isSpecialOrderable
    -0.64
    POSITIVE LOGITS
    phia
    0.82
     Gardens
    0.77
    wu
    0.77
     Tribe
    0.74
    ionage
    0.72
    etus
    0.72
    ttes
    0.70
     Farms
    0.69
    velt
    0.68
    ghan
    0.67
    Activations Density 0.276%

    No Known Activations