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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. 4-RES-JB
    11. 16813
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    Explanations

    words related to specific names or proper nouns, especially those with specific characteristics like being capitalized or containing a certain letter sequence

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names and terms related to individuals and measurements

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

    No Comments

    Negative Logits
    chnology
    -0.72
    ngth
    -0.72
    Upload
    -0.67
    addle
    -0.66
     graveyard
    -0.61
     Zeit
    -0.61
     drive
    -0.60
     Nerd
    -0.60
    terday
    -0.59
    mosp
    -0.58
    POSITIVE LOGITS
     Hib
    1.18
    yip
    0.89
    bler
    0.82
    idated
    0.82
    lasses
    0.75
    tered
    0.75
    inals
    0.74
    achi
    0.74
    awks
    0.73
    pei
    0.73
    Activations Density 0.021%

    No Known Activations