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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. 24197
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    INDEX
    Explanations

    emotional or descriptive adjectives

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe negative or dark qualities

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    osponsors
    -1.01
    sites
    -0.88
    pees
    -0.87
    hers
    -0.87
    ributes
    -0.87
    rikes
    -0.84
    users
    -0.84
    hops
    -0.83
    missions
    -0.83
    issues
    -0.82
    POSITIVE LOGITS
     manifestation
    1.13
     continuum
    1.06
     mixture
    1.06
     entity
    1.05
     culmination
    1.04
     amalg
    1.03
     conco
    1.02
     mess
    1.01
     conglomer
    1.01
     organism
    1.01
    Activations Density 0.398%

    No Known Activations