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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. 7-RES-JB
    11. 11747
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    Explanations

    the name 'McG' with varying activation values depending on the context

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of a specific individual, likely a prominent figure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.77
    éĹĺ
    -0.76
     Gemini
    -0.71
    izations
    -0.67
    ãĥīãĥ©ãĤ´ãĥ³
    -0.65
     lapse
    -0.63
     juvenile
    -0.62
     Mavericks
    -0.61
     UE
    -0.61
    eering
    -0.60
    POSITIVE LOGITS
    owan
    1.14
    raw
    1.01
    ruff
    0.99
    inness
    0.97
    ru
    0.95
    arry
    0.95
    ree
    0.94
    rowth
    0.93
    lean
    0.93
    rown
    0.91
    Activations Density 0.020%

    No Known Activations