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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. 16350
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    Explanations

    specific names or partial names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and brands, particularly those related to the context of Japanese culture

    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
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.98
    MpServer
    -0.78
    ptroller
    -0.73
    */(
    -0.70
    estern
    -0.69
    @#&
    -0.69
    LINE
    -0.68
    emouth
    -0.68
    opher
    -0.67
    ophers
    -0.67
    POSITIVE LOGITS
     Fey
    1.00
    ura
    0.99
    isan
    0.98
    ushima
    0.97
    atsu
    0.82
    uku
    0.79
    uko
    0.79
    asta
    0.77
    asonic
    0.75
    ushi
    0.74
    Activations Density 0.018%

    No Known Activations