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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. 8-RES-JB
    11. 11180
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    Explanations

    excitement and anticipation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or enthusiasm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iciency
    -0.86
    amation
    -0.79
    tein
    -0.69
    asury
    -0.66
     defective
    -0.64
    anski
    -0.64
     objectionable
    -0.63
     neglig
    -0.63
    harm
    -0.62
    adr
    -0.62
    POSITIVE LOGITS
    ly
    0.90
     anticipation
    0.89
    ctl
    0.81
    iously
    0.74
    mble
    0.71
    crow
    0.70
     juices
    0.69
     bells
    0.69
    Future
    0.67
    rily
    0.67
    Activations Density 0.048%

    No Known Activations