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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. 4-RES-JB
    11. 16055
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    Explanations

    words related to player actions or interactions in a gaming context

    oai_token-act-pair · gpt-3.5-turbo

    references to players and user roles within gaming contexts

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

    No Comments

    Negative Logits
    ories
    -0.86
    hell
    -0.78
    اÙĦ
    -0.77
    hots
    -0.75
     Cosponsors
    -0.72
     Monsters
    -0.71
    tackle
    -0.69
     Ways
    -0.68
    arus
    -0.68
     Equal
    -0.66
    POSITIVE LOGITS
     chooses
    0.81
     selects
    0.80
     spouse
    0.78
    hetical
    0.77
     perce
    0.76
    's
    0.74
     compartment
    0.73
     desired
    0.73
    sonian
    0.71
     immersed
    0.70
    Activations Density 0.144%

    No Known Activations