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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. 10-RES-JB
    11. 1305
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to corporate accountability and consumer safety issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     semin
    -0.92
    reth
    -0.88
     manif
    -0.82
    chwitz
    -0.81
     survivor
    -0.76
     Buchanan
    -0.76
     parish
    -0.74
     zones
    -0.73
     vas
    -0.73
     Volunte
    -0.73
    POSITIVE LOGITS
     Apple
    2.05
    Apple
    1.81
     Microsoft
    1.58
     Samsung
    1.56
     Lenovo
    1.51
     Motorola
    1.45
     Nokia
    1.42
    Microsoft
    1.41
    Samsung
    1.40
     Acer
    1.36
    Activations Density 0.437%

    No Known Activations