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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. 0-RES-JB
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    Explanations

    phrases related to entitlement and expectations

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of entitlement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olin
    -0.83
     Mol
    -0.72
     Comb
    -0.68
    Ul
    -0.68
     Chrom
    -0.66
     Probe
    -0.66
     scout
    -0.65
    uba
    -0.64
    mos
    -0.62
    pol
    -0.62
    POSITIVE LOGITS
     entitlement
    4.15
     entitle
    3.02
     entit
    1.37
     eligibility
    1.31
     entitled
    1.19
     welf
    1.17
     privilege
    1.15
     voucher
    1.14
     discretionary
    1.13
     welfare
    1.08
    Activations Density 0.012%

    No Known Activations