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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. 1-RES-JB
    11. 6989
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    Explanations

    words related to difficult situations or challenges

    oai_token-act-pair · gpt-3.5-turbo

    references to difficult situations or struggles faced by individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sterdam
    -0.73
    ocular
    -0.66
    omers
    -0.65
     penet
    -0.65
     latt
    -0.64
     ejac
    -0.61
    smoking
    -0.61
     showers
    -0.60
     orbital
    -0.60
    nesia
    -0.59
    POSITIVE LOGITS
     plight
    1.22
    ĸļ
    0.91
    edIn
    0.88
    escription
    0.77
    ibrary
    0.76
    Enlarge
    0.70
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.69
    lehem
    0.69
    00007
    0.67
    âĶģ
    0.67
    Activations Density 0.007%

    No Known Activations