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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. 15370
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    Explanations

    phrases related to actions or commands

    oai_token-act-pair · gpt-3.5-turbo

    commands or suggestions to take action

    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
    prototype
    -0.71
    "},"
    -0.65
    DERR
    -0.64
    Chel
    -0.60
    QUIRE
    -0.60
    iege
    -0.58
     Mehran
    -0.58
    "}],"
    -0.58
    SIGN
    -0.58
    ACC
    -0.57
    POSITIVE LOGITS
     yourselves
    1.17
     yourself
    1.00
    ably
    0.79
     Yourself
    0.78
    ifully
    0.77
    ivably
    0.72
     yours
    0.71
    able
    0.70
    ingly
    0.70
     thy
    0.69
    Activations Density 0.170%

    No Known Activations