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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. 6-RES-JB
    6. 18234
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    Explanations

    action words related to technology and settings

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions related to activation or implementation processes

    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
    Press
    -0.64
    quart
    -0.61
    rehens
    -0.61
    hon
    -0.59
    bay
    -0.59
    bia
    -0.59
    nexus
    -0.57
     Scand
    -0.57
    ibli
    -0.56
    Reb
    -0.55
    POSITIVE LOGITS
     rul
    0.74
     theirs
    0.70
     ado
    0.67
     KE
    0.59
     yours
    0.58
     refere
    0.57
    yles
    0.56
     spree
    0.56
     oneself
    0.55
    igation
    0.55
    Activations Density 0.714%

    No Known Activations