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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9555
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    Explanations

    mentions of artists and their work

    oai_token-act-pair · gpt-3.5-turbo

    mentions of artists

    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
    •umbrella features
    artist

    No Comments

    Negative Logits
     iod
    -0.67
    inki
    -0.64
     Honduras
    -0.64
     htt
    -0.63
     Laden
    -0.62
    bred
    -0.62
     rid
    -0.61
     Lanka
    -0.61
     Isles
    -0.60
     Patrol
    -0.60
    POSITIVE LOGITS
    emis
    1.30
    Artist
    1.05
    ically
    1.01
    isans
    1.00
     laureate
    0.95
    urally
    0.91
    istry
    0.88
    ynt
    0.87
     commons
    0.86
    artist
    0.83
    Activations Density 0.055%

    No Known Activations