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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. 14300
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    INDEX
    Explanations

    mentions of agreements or deals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to agreements or negotiations

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.80
    osate
    -0.67
     Takeru
    -0.66
     laz
    -0.64
    si
    -0.64
    lake
    -0.63
     Alto
    -0.62
    wild
    -0.61
    nis
    -0.60
     Wast
    -0.60
    POSITIVE LOGITS
     breaker
    1.14
    breaker
    1.11
    breakers
    1.00
     negotiated
    0.97
     deals
    0.93
    ership
    0.91
    ually
    0.89
    maker
    0.87
     negotiator
    0.84
    making
    0.83
    Activations Density 0.052%

    No Known Activations