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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. 23540
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ichen
    -0.77
    abuse
    -0.68
    ammad
    -0.67
    iverpool
    -0.64
    uther
    -0.64
    itars
    -0.64
    otive
    -0.63
    issors
    -0.63
    chin
    -0.63
    cci
    -0.62
    POSITIVE LOGITS
     perks
    1.21
     perk
    1.11
     bonus
    0.85
     entitle
    0.82
     privileges
    0.80
    onomic
    0.77
     rewards
    0.76
     parach
    0.75
     amenities
    0.74
    ãģĨ
    0.73
    Activations Density 0.014%

    No Known Activations