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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. 3-RES-JB
    11. 15615
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to terms and conditions in agreements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OWN
    -0.75
     Towns
    -0.72
    ################
    -0.71
    âĹ¼
    -0.64
    OTS
    -0.64
    Assembly
    -0.64
     brow
    -0.63
    stanbul
    -0.61
     millenn
    -0.60
    ECTION
    -0.60
    POSITIVE LOGITS
    cale
    0.98
    pace
    0.92
    paces
    0.91
    pring
    0.91
    hift
    0.88
    mith
    0.87
    poons
    0.87
     terms
    0.83
    ures
    0.81
    assian
    0.80
    Activations Density 0.014%

    No Known Activations