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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. 6-RES-JB
    11. 2932
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    Explanations

    phrases or sentences expressing excitement or 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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.76
    avis
    -0.76
    iciency
    -0.72
    anski
    -0.69
    mine
    -0.65
     forgiven
    -0.65
     smuggled
    -0.64
     dated
    -0.63
    amation
    -0.63
    arin
    -0.63
    POSITIVE LOGITS
     anticipation
    0.90
    ly
    0.85
    iously
    0.80
    GGGGGGGG
    0.79
    ctl
    0.75
    GGGG
    0.74
     crowds
    0.68
    pad
    0.66
    rily
    0.65
     uproar
    0.65
    Activations Density 0.036%

    No Known Activations