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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22573
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    Explanations

    mentions of raising or increasing something, such as wages, tariffs, rates, or funding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to raising or increasing economic measures and financial policies

    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
    Not in Any Lists

    No Comments

    Negative Logits
    matter
    -0.90
    spirit
    -0.75
    result
    -0.75
    Sham
    -0.74
    formed
    -0.73
    destroy
    -0.73
    gom
    -0.72
    imgur
    -0.71
    Sin
    -0.71
    perfect
    -0.70
    POSITIVE LOGITS
     taxes
    1.36
     tariffs
    1.17
     subsidies
    1.12
     prices
    1.09
     rates
    1.09
     incentives
    1.09
     allowable
    1.06
     penalties
    1.03
     wages
    1.03
     payments
    1.01
    Activations Density 0.176%

    No Known Activations