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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. 9-RES-JB
    11. 7372
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    Explanations

    phrases related to reactions and responses in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    responses characterized by strong emotional reactions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Inher
    -0.72
    ritten
    -0.70
     ceilings
    -0.65
     inherited
    -0.61
    tenance
    -0.60
     Reincarnated
    -0.59
    properties
    -0.59
    Limit
    -0.58
     prized
    -0.58
     ledger
    -0.58
    POSITIVE LOGITS
     incred
    0.79
     disbelief
    0.76
     affirmative
    0.75
     fury
    0.72
     hostility
    0.72
     kindness
    0.71
     Cancel
    0.70
     response
    0.70
     denial
    0.68
    rique
    0.68
    Activations Density 0.152%

    No Known Activations