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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. 3-RES-JB
    11. 4005
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    INDEX
    Explanations

    words related to instructions or guidance

    oai_token-act-pair · gpt-3.5-turbo

    interrogative and prepositional phrases indicating methods or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     critical
    -0.65
     fright
    -0.65
     superst
    -0.64
     tremend
    -0.64
     rehab
    -0.63
     Scientology
    -0.62
     vital
    -0.62
     resil
    -0.61
     Fasc
    -0.61
     pim
    -0.60
    POSITIVE LOGITS
    theless
    1.27
    terday
    0.89
    etheless
    0.84
    gettable
    0.82
    rontal
    0.81
    selves
    0.81
    iculty
    0.81
    acters
    0.78
    drawn
    0.77
    giving
    0.77
    Activations Density 0.196%

    No Known Activations