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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. 6-RES-JB
    11. 9748
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    Explanations

    mentions of full-time employment

    oai_token-act-pair · gpt-3.5-turbo

    references to full-time employment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tomat
    -0.80
    ramid
    -0.77
    ĸļ
    -0.73
    hra
    -0.71
    rosis
    -0.68
    acid
    -0.68
     fragment
    -0.65
    ulz
    -0.65
    uador
    -0.64
     fragmented
    -0.64
    POSITIVE LOGITS
     employment
    0.91
     basis
    0.79
    cil
    0.74
     equivalents
    0.73
    employment
    0.73
     unemployed
    0.72
     Bucc
    0.72
     occupation
    0.71
    enter
    0.70
     missionary
    0.66
    Activations Density 0.025%

    No Known Activations