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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. 9830
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    INDEX
    Explanations

    mentions of office locations and settings

    oai_token-act-pair · gpt-3.5-turbo

    locations and physical settings in the narrative

    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
     TAMADRA
    -0.76
    Comments
    -0.76
    Fact
    -0.76
    ubi
    -0.75
    abilities
    -0.75
    Sources
    -0.74
    Factor
    -0.73
    origin
    -0.72
    Flight
    -0.71
    PN
    -0.71
    POSITIVE LOGITS
     café
    1.05
     overlooking
    0.99
     bustling
    0.95
     storefront
    0.93
     perched
    0.92
     cafe
    0.90
     midday
    0.88
     crammed
    0.86
     dusk
    0.84
     dusty
    0.84
    Activations Density 0.550%

    No Known Activations