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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. 6-RES-JB
    11. 2936
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    Explanations

    phrases related to emotions, reactions, and opinions expressed with strong intensity

    oai_token-act-pair · gpt-3.5-turbo

    emotions and reactions related to shock, amazement, and dismay

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amins
    -0.67
    akedown
    -0.67
    çĦ
    -0.64
    apixel
    -0.63
     vantage
    -0.62
    ramer
    -0.62
     MVP
    -0.60
    ut
    -0.59
     nifty
    -0.59
     livest
    -0.59
    POSITIVE LOGITS
    ingly
    0.88
    fully
    0.83
    imaru
    0.79
    faced
    0.77
    FUL
    0.74
    fulness
    0.71
     stricken
    0.68
    ful
    0.67
    ously
    0.66
    atics
    0.66
    Activations Density 0.146%

    No Known Activations