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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. 10-RES-JB
    11. 848
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    Explanations

    phrases introducing additional information or emphasizing points

    oai_token-act-pair · gpt-3.5-turbo

    transitional phrases that indicate a continuation or addition of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "},"
    -0.75
     VIDEOS
    -0.61
     throats
    -0.59
    crow
    -0.58
    prus
    -0.57
     hearts
    -0.57
    ggles
    -0.55
    rals
    -0.53
    /"
    -0.53
    ocene
    -0.51
    POSITIVE LOGITS
    ,
    1.01
    ,.
    0.89
    ,,
    0.84
    .,
    0.81
    ,...
    0.80
     guiActiveUn
    0.70
    *,
    0.59
     importantly
    0.58
    phan
    0.58
    ãĥ»
    0.58
    Activations Density 0.057%

    No Known Activations