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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. 9-RES-JB
    11. 15378
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    Explanations

    phrases containing an action followed by a statement of who said or will do the action

    oai_token-act-pair · gpt-3.5-turbo

    statements attributed to sources or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.75
    ãĥ´
    -0.71
    otin
    -0.71
    è¯
    -0.68
    zin
    -0.67
    ãĥ¡
    -0.66
    hyde
    -0.66
    matter
    -0.65
    ldom
    -0.64
    Translation
    -0.64
    POSITIVE LOGITS
     yesterday
    0.88
     its
    0.81
     goodbye
    0.79
     Thursday
    0.76
     Monday
    0.75
     Wednesday
    0.75
    eworks
    0.73
     earlier
    0.72
     Tuesday
    0.71
     Friday
    0.70
    Activations Density 0.170%

    No Known Activations