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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. 3169
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    Explanations

    references to animals

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental hazards and their impacts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.68
    apixel
    -0.67
    ĸļ
    -0.67
    clus
    -0.66
    DragonMagazine
    -0.66
    é¾įåĸļ士
    -0.65
    ortment
    -0.65
    ophon
    -0.64
     harmony
    -0.63
    knit
    -0.63
    POSITIVE LOGITS
     Illegal
    0.89
     plague
    0.86
     penalties
    0.83
     obstruction
    0.81
     obstruct
    0.80
     abusive
    0.78
     contamin
    0.77
     harmful
    0.76
     inability
    0.74
     malf
    0.74
    Activations Density 1.276%

    No Known Activations