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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. 0-RES-JB
    11. 20198
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    INDEX
    Explanations

    phrases related to legal matters and specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pocket
    -0.78
    rast
    -0.73
     Typ
    -0.70
    liter
    -0.68
    dayName
    -0.64
    pet
    -0.64
    places
    -0.63
    plex
    -0.62
    tern
    -0.62
     Lux
    -0.61
    POSITIVE LOGITS
     Davies
    1.65
     Edwards
    1.59
    adh
    1.45
     Goddard
    1.44
    OTA
    1.26
     Gavin
    1.24
     Harding
    1.19
     Alonso
    1.12
     swoop
    1.08
     Baird
    1.06
    Activations Density 0.042%

    No Known Activations