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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. 15769
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    Explanations

    phrases related to different generations and the specific characteristics or challenges they face

    oai_token-act-pair · gpt-3.5-turbo

    references to generational cohorts

    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
    amina
    -0.97
    yer
    -0.84
    eneg
    -0.83
    aleigh
    -0.78
    imon
    -0.77
    abre
    -0.74
    pmwiki
    -0.70
    abl
    -0.67
    alam
    -0.66
    ern
    -0.65
    POSITIVE LOGITS
     inher
    0.91
     Generations
    0.91
     generation
    0.86
     generations
    0.83
     generational
    0.74
    idable
    0.74
     Generation
    0.73
    naire
    0.73
     Gohan
    0.70
     gap
    0.69
    Activations Density 0.043%

    No Known Activations