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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23235
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    Explanations

    phrases reflecting conversations or dialogues with varying emotional tones

    oai_token-act-pair · gpt-3.5-turbo

    emotional or exclamatory expressions often related to reactions or statements

    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
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    No Comments

    Negative Logits
    NetMessage
    -0.78
     tremend
    -0.73
     weaving
    -0.67
     scattering
    -0.64
     psychiat
    -0.64
    bda
    -0.63
     experien
    -0.63
     lodging
    -0.63
     recogn
    -0.62
    kj
    -0.62
    POSITIVE LOGITS
    º
    0.76
    ¦
    0.73
    ¯
    0.72
    ĭ
    0.72
    aren
    0.71
    £
    0.70
     Rapids
    0.69
    ickle
    0.68
    let
    0.68
    said
    0.67
    Activations Density 0.268%

    No Known Activations