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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. 4930
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    Explanations

    phrases indicating significance, importance, or symbolism

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a sign of something

    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
    ĸļ
    -0.88
    ETHOD
    -0.74
    ategory
    -0.71
    »Ĵ
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    perty
    -0.68
    ooked
    -0.67
    @#&
    -0.67
    amily
    -0.66
    irie
    -0.65
    ULT
    -0.64
    POSITIVE LOGITS
    atories
    1.35
     sign
    1.02
    posts
    1.02
    atory
    0.98
    sign
    0.93
    ifying
    0.93
     Sign
    0.90
    ifiers
    0.90
     Signs
    0.89
    ific
    0.88
    Activations Density 0.022%

    No Known Activations