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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1134
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    INDEX
    Explanations

    phrases related to communication and interaction between individuals

    oai_token-act-pair · gpt-3.5-turbo

    indications of conversations or dialogue exchanges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Downloadha
    -0.80
    olated
    -0.74
    mone
    -0.69
    arde
    -0.69
    licts
    -0.68
    rolet
    -0.66
    İĭ
    -0.66
    MpServer
    -0.64
    inent
    -0.63
     Shadows
    -0.62
    POSITIVE LOGITS
     reply
    1.81
     replies
    1.68
     replied
    1.66
     responded
    1.64
     answer
    1.61
     answered
    1.55
     response
    1.55
     responds
    1.49
    response
    1.45
     responses
    1.43
    Activations Density 1.278%

    No Known Activations