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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. 18066
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    Explanations

    instructions or recommendations to interact with content in various ways

    oai_token-act-pair · gpt-3.5-turbo

    phrases that encourage audience engagement and interaction with content

    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
     FSA
    -0.76
    ©¶æ¥µ
    -0.65
     Americas
    -0.65
     exceptions
    -0.63
     metals
    -0.63
     immigrants
    -0.61
     mercenaries
    -0.60
    existence
    -0.60
     commodities
    -0.59
    lishes
    -0.58
    POSITIVE LOGITS
     aloud
    1.45
     firsthand
    1.28
     unfold
    1.13
     yourself
    0.95
     myself
    0.94
     Yourself
    0.87
    alian
    0.79
     yourselves
    0.79
    unes
    0.78
    geist
    0.74
    Activations Density 0.353%

    No Known Activations