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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. 4808
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    INDEX
    Explanations

    phrases related to emotional reactions

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to responses or 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
    holder
    -0.75
    iciency
    -0.70
    friends
    -0.69
     Sinai
    -0.67
    lay
    -0.62
     Hels
    -0.61
     Graveyard
    -0.60
    fusc
    -0.60
     Camel
    -0.59
    hold
    -0.59
    POSITIVE LOGITS
    ivated
    1.41
    ivating
    1.31
    ivation
    1.24
    aries
    1.09
     reactions
    0.99
     reaction
    0.98
     Reaction
    0.94
    iv
    0.93
    ivity
    0.91
    ively
    0.88
    Activations Density 0.062%

    No Known Activations