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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. 7-RES-JB
    11. 11432
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    Explanations

    names of specific locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and significant names related to cultural or artistic references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parables
    -0.70
    arium
    -0.66
     Nightmares
    -0.66
    isters
    -0.65
    Raven
    -0.64
    883
    -0.63
    TERN
    -0.62
    enser
    -0.61
    ertation
    -0.61
    aura
    -0.61
    POSITIVE LOGITS
    fg
    0.90
     Gas
    0.88
    ges
    0.87
    GY
    0.84
     Gin
    0.83
    G
    0.80
     Gall
    0.80
    ity
    0.79
    gee
    0.79
    g
    0.78
    Activations Density 0.265%

    No Known Activations