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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. 19525
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    Explanations

    texts related to critique and analysis

    oai_token-act-pair · gpt-3.5-turbo

    text discussing flaws or criticisms in narrative structures

    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
    ickr
    -0.79
    arte
    -0.78
    Bloomberg
    -0.76
    Bench
    -0.74
    condition
    -0.74
     Marketable
    -0.73
    Monitor
    -0.73
    SHARE
    -0.73
    Apply
    -0.72
    stadt
    -0.72
    POSITIVE LOGITS
     protagonist
    1.28
     sequels
    1.25
     protagonists
    1.20
     narrator
    1.16
     nudity
    1.11
     heroine
    1.07
     villains
    1.07
     themes
    1.02
     storylines
    1.01
     twists
    1.00
    Activations Density 0.526%

    No Known Activations