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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. 2015
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    Explanations

    personal statements and statements expressing opinions

    oai_token-act-pair · gpt-3.5-turbo

    first-person expressions about personal identity and feelings

    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
    ¿½
    -0.46
     destro
    -0.44
    milo
    -0.39
     disadvant
    -0.38
     advoc
    -0.38
    emale
    -0.38
     horizont
    -0.37
     resultant
    -0.37
    vertisement
    -0.36
    Materials
    -0.35
    POSITIVE LOGITS
     âĢº
    0.46
    0.41
     <<
    0.36
    ÃŃ
    0.35
    ï¸ı
    0.35
    hin
    0.34
     WATCHED
    0.34
     JUSTICE
    0.34
     thee
    0.33
     ..........
    0.33
    Activations Density 1.102%

    No Known Activations