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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. 12770
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    Explanations

    verbs related to responding or reacting

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "react" in various contexts

    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
    fil
    -0.73
     Fantastic
    -0.72
     Moonlight
    -0.70
    scar
    -0.67
    thin
    -0.64
    holding
    -0.64
    ffe
    -0.64
    feat
    -0.63
     Dracula
    -0.62
    pocket
    -0.62
    POSITIVE LOGITS
    ivated
    1.27
    ivation
    1.24
    ivating
    1.17
    ively
    1.04
     reactions
    0.97
     react
    0.90
     reaction
    0.89
    iv
    0.84
     negatively
    0.83
     reacts
    0.82
    Activations Density 0.007%

    No Known Activations