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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. 10-RES-JB
    11. 3865
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    Explanations

    mentions of the speaker or their actions

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "I" and related expressions indicating personal perspective or involvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lep
    -0.65
     Allied
    -0.62
     authoritative
    -0.61
     TG
    -0.60
     Leopard
    -0.59
     Lutheran
    -0.59
     HS
    -0.59
     Constantin
    -0.58
     Weston
    -0.57
     Lima
    -0.56
    POSITIVE LOGITS
    ngth
    1.15
    eks
    1.07
    zbollah
    1.06
    ï¸ı
    1.05
     ain
    0.99
    [/
    0.97
    âĢ
    0.95
    zzy
    0.95
    vernment
    0.94
    ]'
    0.93
    Activations Density 0.163%

    No Known Activations