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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. 4688
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    Explanations

    phrases related to age groups

    oai_token-act-pair · gpt-3.5-turbo

    references to age and socioeconomic status

    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
    atl
    -0.69
    Quantity
    -0.69
    Amazon
    -0.68
    sequ
    -0.68
    rid
    -0.67
     Scrib
    -0.65
    hibition
    -0.63
    Quotes
    -0.63
    risome
    -0.61
     Volcano
    -0.60
    POSITIVE LOGITS
     whom
    1.38
    who
    0.99
    whose
    0.95
     who
    0.91
     whose
    0.81
     interested
    0.80
     alike
    0.79
     vers
    0.78
     afflicted
    0.77
     experiencing
    0.76
    Activations Density 0.387%

    No Known Activations