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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. 16757
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    Explanations

    phrases related to critical evaluations or opinions

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of a specific character or symbol

    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
     Flavoring
    -0.72
     Gaul
    -0.72
     SAM
    -0.70
     Trails
    -0.67
     Horizons
    -0.67
     Cycling
    -0.67
     Monkey
    -0.66
     Eid
    -0.64
     Suk
    -0.64
     Mirage
    -0.63
    POSITIVE LOGITS
    reci
    0.99
    responsible
    0.97
    treated
    0.96
    extremely
    0.95
    really
    0.93
    ready
    0.92
    very
    0.92
    highly
    0.88
    completely
    0.86
    usable
    0.86
    Activations Density 0.129%

    No Known Activations