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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. 9-RES-JB
    11. 2631
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    Explanations

    words related to weaponry and violence

    oai_token-act-pair · gpt-3.5-turbo

    references to death or mortality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •test_feats

    No Comments

    Negative Logits
    itives
    -0.73
    cia
    -0.70
    çĶŁ
    -0.65
    notation
    -0.64
    Ĥİ
    -0.63
    ing
    -0.63
     Lisp
    -0.60
    ibility
    -0.60
    dL
    -0.59
    Ke
    -0.59
    POSITIVE LOGITS
    ems
    1.02
    astically
    1.00
    ally
    0.94
    imer
    0.93
    awar
    0.91
    ixed
    0.86
    izons
    0.82
    ilst
    0.80
    ailable
    0.80
    ified
    0.77
    Activations Density 0.118%

    No Known Activations