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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. 11-RES-JB
    11. 284
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    Explanations

    phrases involving statements made by individuals after events or meetings

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statements made after events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alogue
    -0.81
    ahime
    -0.72
    ãĤ¦ãĤ¹
    -0.71
    soDeliveryDate
    -0.70
    ãĥ¯ãĥ³
    -0.69
    anges
    -0.67
    untled
    -0.64
    ãĥ³ãĤ¸
    -0.64
    JV
    -0.63
    enser
    -0.63
    POSITIVE LOGITS
     announcing
    1.17
     unveiling
    1.06
     testifying
    1.01
     departing
    1.01
    noon
    1.01
     inspecting
    1.00
     speaking
    0.99
     thanking
    0.98
     reviewing
    0.96
     arriving
    0.95
    Activations Density 0.108%

    No Known Activations