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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. 8958
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    Explanations

    specific names of companies, organizations, and events

    oai_token-act-pair · gpt-3.5-turbo

    names of media outlets and financial institutions

    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
     Canaver
    -0.69
    ciplinary
    -0.65
    depending
    -0.58
    either
    -0.56
     proced
    -0.55
    posted
    -0.54
     WAY
    -0.54
    minist
    -0.53
    istrate
    -0.52
    iblical
    -0.52
    POSITIVE LOGITS
     etc
    1.04
    ).
    1.00
    )."
    0.93
    !).
    0.93
    }.
    0.90
    ).[
    0.90
    ?).
    0.89
    ]."
    0.85
     ).
    0.85
    ®,
    0.79
    Activations Density 0.788%

    No Known Activations