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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "aaa"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of 'aa' and its variants, indicating a focus on specific terms or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rified
    -0.79
     Petraeus
    -0.70
    bourg
    -0.67
     Fug
    -0.67
    advertisement
    -0.66
    rification
    -0.66
    POL
    -0.65
     Kardash
    -0.64
    ERAL
    -0.64
     Hodg
    -0.64
    POSITIVE LOGITS
    uthor
    0.93
    aah
    0.93
    veland
    0.91
    ñ
    0.90
    ibaba
    0.90
    qqa
    0.89
    aa
    0.88
    ldom
    0.86
    ft
    0.84
    zzle
    0.84
    Activations Density 0.008%

    No Known Activations