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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. 7-RES-JB
    11. 24524
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    Explanations

    words related to commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    action words associated with making decisions or taking actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mith
    -0.63
     constitu
    -0.62
    CRE
    -0.61
     disg
    -0.58
     [*
    -0.57
    tnc
    -0.56
     Baird
    -0.56
     lawy
    -0.56
    133
    -0.56
    ales
    -0.55
    POSITIVE LOGITS
     Yourself
    1.31
    ables
    1.17
    ments
    1.14
     yourselves
    1.14
     yourself
    1.12
    able
    1.12
    ings
    1.09
    ability
    1.01
    ment
    0.98
    acion
    0.93
    Activations Density 0.397%

    No Known Activations