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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

    references to hunger or being hungry

    oai_token-act-pair · gpt-3.5-turbo

    references to hunger and food scarcity

    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
     Whit
    -0.70
    ude
    -0.69
    aut
    -0.66
     Registry
    -0.66
     Mit
    -0.65
     Cosmetic
    -0.65
     legality
    -0.65
     Angle
    -0.65
     Amendment
    -0.64
     Dot
    -0.63
    POSITIVE LOGITS
     hungry
    3.96
     thirsty
    2.64
     starving
    2.26
     Hungry
    2.06
     hunger
    1.93
     starved
    1.82
    hung
    1.51
     needy
    1.50
     greedy
    1.44
     raven
    1.43
    Activations Density 0.021%

    No Known Activations