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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. 9-RES-JB
    11. 17745
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    Explanations

    phrases related to trading actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to trades and transactions in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     diplom
    -0.79
    zanne
    -0.76
    acci
    -0.72
    pmwiki
    -0.71
    chrom
    -0.70
    matic
    -0.70
    attribute
    -0.70
    racial
    -0.70
    votes
    -0.69
    Policy
    -0.68
    POSITIVE LOGITS
     Tigers
    1.10
     Tampa
    1.04
     Memphis
    1.02
     Miami
    1.00
     Spurs
    1.00
     Detroit
    0.99
     Oakland
    0.98
     Philadelphia
    0.97
     Lions
    0.96
     Dallas
    0.95
    Activations Density 0.145%

    No Known Activations