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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. 9040
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    INDEX
    Explanations

    phrases related to negative or harmful environmental conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pollution and environmental degradation

    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
     explan
    -0.66
    eele
    -0.65
    osuke
    -0.65
     defer
    -0.64
    legate
    -0.64
    udeau
    -0.63
     Goff
    -0.62
     Adviser
    -0.62
     Position
    -0.62
    kees
    -0.62
    POSITIVE LOGITS
     fury
    0.85
     fumes
    0.83
     havoc
    0.82
    iless
    0.77
    redd
    0.76
    ãĥĩ
    0.76
    aline
    0.74
     hatred
    0.73
     earthqu
    0.73
     wounds
    0.72
    Activations Density 0.228%

    No Known Activations