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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. 0-RES-JB
    11. 1610
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    Explanations

    explicitly stated information or actions in a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "explicitly" or closely related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    weather
    -0.65
    ish
    -0.62
    bay
    -0.62
    Bul
    -0.61
     KING
    -0.60
    irl
    -0.59
    INGTON
    -0.59
    ole
    -0.59
    juries
    -0.58
     impressions
    -0.58
    POSITIVE LOGITS
     explicitly
    3.39
     expressly
    2.29
     explicit
    2.06
     implicitly
    2.00
     overtly
    1.87
     specifically
    1.75
     consciously
    1.58
     unamb
    1.55
     unequivocally
    1.51
     openly
    1.48
    Activations Density 0.017%

    No Known Activations