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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. 3-RES-JB
    11. 12004
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    Explanations

    specific times indicated in the evening

    oai_token-act-pair · gpt-3.5-turbo

    specific time indicators in the evening

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.77
    vana
    -0.74
    tymology
    -0.71
     Crus
    -0.69
     Palestin
    -0.67
    reach
    -0.66
    ollah
    -0.66
    egu
    -0.65
    come
    -0.65
    doms
    -0.63
    POSITIVE LOGITS
     EDT
    1.08
     pm
    0.97
     EST
    0.95
    essage
    0.92
     ET
    0.84
     ILCS
    0.82
     CST
    0.81
     PST
    0.79
     CET
    0.76
     PDT
    0.76
    Activations Density 0.005%

    No Known Activations