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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. 5774
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific products or brands

    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
     [];
    -0.68
     thereafter
    -0.57
     mitigating
    -0.56
     afterwards
    -0.52
     accordingly
    -0.52
     versa
    -0.51
    [_
    -0.51
     latter
    -0.50
     stringent
    -0.50
     unfocusedRange
    -0.49
    POSITIVE LOGITS
    ratom
    0.62
    amily
    0.58
    opia
    0.57
    ormon
    0.56
    coin
    0.54
    bris
    0.54
    oplan
    0.54
    raft
    0.53
    istor
    0.52
    opa
    0.51
    Activations Density 1.550%

    No Known Activations