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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. 3338
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    Explanations

    phrases expressing excitement

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement

    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
    iciency
    -0.83
    tein
    -0.75
    asury
    -0.70
    putable
    -0.67
    amation
    -0.66
    avis
    -0.64
    utable
    -0.64
    anski
    -0.63
     Lumpur
    -0.60
    çİĭ
    -0.60
    POSITIVE LOGITS
     anticipation
    0.94
    ly
    0.86
    iously
    0.79
     excited
    0.78
    ctl
    0.75
     eagerly
    0.75
     juices
    0.73
    rily
    0.72
     bells
    0.72
     crowds
    0.68
    Activations Density 0.064%

    No Known Activations