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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. 6-RES-JB
    11. 13947
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    Explanations

    phrases related to weapons or danger

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with semi-automated or semi-hidden categories, particularly in relation to weapons or production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rica
    -0.92
     Fas
    -0.69
     vouchers
    -0.68
     Blaz
    -0.68
     Scrib
    -0.68
     Larson
    -0.67
     Walters
    -0.66
     Zimmer
    -0.66
     Cooke
    -0.64
    anwhile
    -0.64
    POSITIVE LOGITS
    conscious
    1.05
    finals
    1.03
    interstitial
    1.02
    functional
    0.99
    skilled
    0.97
    Georg
    0.96
    circ
    0.95
    final
    0.94
    competitive
    0.91
    exclusive
    0.90
    Activations Density 0.042%

    No Known Activations