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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. 6-RES-JB
    11. 7562
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    Explanations

    mentions of specific dates and locations of upcoming events or matches

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and conveys a sense of location or action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.83
    DEF
    -0.81
    gebra
    -0.74
    DOWN
    -0.74
    norm
    -0.73
    Enlarge
    -0.73
    albeit
    -0.72
    biased
    -0.71
    76561
    -0.71
    Redditor
    -0.70
    POSITIVE LOGITS
     TBA
    0.90
     Chest
    0.77
     TBD
    0.77
     Vac
    0.73
     Honour
    0.72
     Petro
    0.71
     Meadow
    0.70
     None
    0.68
     Frontier
    0.68
     Monte
    0.68
    Activations Density 0.247%

    No Known Activations