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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. 2-RES-JB
    11. 11157
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    structured data or numerical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    trace
    -0.51
    addons
    -0.49
    ties
    -0.49
    weed
    -0.48
    Diamond
    -0.48
    growth
    -0.47
    Forward
    -0.47
    photos
    -0.47
    tons
    -0.47
    Benz
    -0.46
    POSITIVE LOGITS
     rul
    0.60
     awoken
    0.57
     condem
    0.53
     exting
    0.53
     pars
    0.49
    MpServer
    0.49
     Void
    0.49
     WATCHED
    0.48
    anamo
    0.48
     AFB
    0.48
    Activations Density 3.150%

    No Known Activations