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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. 11-RES-JB
    11. 6414
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    Explanations

    negative sentiments related to the concept of "lack" or absence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to deficiency or absence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.63
     Dug
    -0.58
     Seal
    -0.56
    Ń·
    -0.56
     Petra
    -0.55
     Prin
    -0.54
     Steps
    -0.53
     Families
    -0.51
     Springs
    -0.50
     Tar
    -0.50
    POSITIVE LOGITS
    lust
    1.62
    luster
    1.53
     thereof
    1.41
    ada
    1.32
     of
    1.04
    adas
    1.01
    iveness
    0.83
    ua
    0.82
     OF
    0.80
    Of
    0.79
    Activations Density 0.047%

    No Known Activations