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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. 6074
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    Explanations

    phrases indicating conditions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements expressing hypothetical situations or instructions

    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
    kefeller
    -0.74
    Eye
    -0.72
    ãĤª
    -0.68
    SPONSORED
    -0.67
    otom
    -0.65
    Justice
    -0.64
    akia
    -0.62
    Kings
    -0.62
    jam
    -0.62
    oya
    -0.62
    POSITIVE LOGITS
     you
    1.14
    rame
    0.98
     someone
    0.91
     somebody
    0.88
     unsure
    0.86
     desired
    0.85
     your
    0.83
     necessary
    0.79
     dissatisfied
    0.78
     applicable
    0.78
    Activations Density 0.119%

    No Known Activations