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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. 20060
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    INDEX
    Explanations

    mentions of where individuals grew up and spent their childhood

    oai_token-act-pair · gpt-3.5-turbo

    references to personal growth and upbringing

    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
    phis
    -0.73
    issors
    -0.71
    pmwiki
    -0.71
    onement
    -0.69
    zzi
    -0.66
     Mub
    -0.66
    esson
    -0.63
    ibrary
    -0.61
    pta
    -0.61
    ":"","
    -0.61
    POSITIVE LOGITS
     accustomed
    1.02
     resent
    0.87
     weary
    0.85
     disillusion
    0.84
     pains
    0.80
     tired
    0.77
     bored
    0.76
     impatient
    0.74
     deaf
    0.73
    lasses
    0.73
    Activations Density 0.028%

    No Known Activations