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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. 12-RES-JB
    11. 2925
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    INDEX
    Explanations

    information related to sports events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    future tense verbs indicating actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -1.02
    BuyableInstoreAndOnline
    -0.86
    CLASSIFIED
    -0.76
    âĹ¼
    -0.74
    writ
    -0.74
    76561
    -0.71
    ItemTracker
    -0.69
    shown
    -0.68
    Introduced
    -0.68
    engineering
    -0.67
    POSITIVE LOGITS
     face
    1.15
     host
    1.14
     rematch
    1.11
     compete
    1.11
     clinch
    1.09
     clash
    1.06
     play
    1.00
     square
    1.00
     defend
    0.99
     scrimmage
    0.98
    Activations Density 0.160%

    No Known Activations