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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. 4-RES-JB
    11. 6456
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    INDEX
    Explanations

    mentions of benefits or advantages

    oai_token-act-pair · gpt-3.5-turbo

    references to benefits or advantages associated with certain contexts or situations

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

    No Comments

    Negative Logits
    ibur
    -0.73
    issors
    -0.72
     Hurricanes
    -0.72
    ppo
    -0.71
     Sakuya
    -0.70
    pipe
    -0.66
    usted
    -0.66
    ablo
    -0.66
    inatory
    -0.66
    izont
    -0.65
    POSITIVE LOGITS
    erous
    0.93
     entitle
    0.91
    uries
    0.87
     perks
    0.86
     perk
    0.78
     amenities
    0.75
     privileges
    0.75
     entitlement
    0.74
    ãģĨ
    0.73
     concession
    0.71
    Activations Density 0.022%

    No Known Activations