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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. 3-RES-JB
    11. 9790
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    Explanations

    proper nouns related to notable personalities, particularly individuals associated with entertainment

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people and characters

    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
    ment
    -0.87
    rament
    -0.74
    neys
    -0.74
    ochond
    -0.73
    vor
    -0.72
    nee
    -0.69
    ype
    -0.67
    rious
    -0.65
    ership
    -0.65
    aneous
    -0.64
    POSITIVE LOGITS
    ombat
    1.06
    osate
    1.03
    ento
    0.90
    veyard
    0.87
    osponsors
    0.86
     Fighters
    0.79
    vernment
    0.78
    ingo
    0.77
    idepress
    0.76
    asma
    0.76
    Activations Density 0.018%

    No Known Activations