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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8148
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    Explanations

    mentions of crying or emotions related to crying

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MG
    -0.63
    eties
    -0.61
    ratulations
    -0.61
    aughs
    -0.60
    velength
    -0.59
     contrace
    -0.59
    auga
    -0.59
    ilibrium
    -0.58
    awaru
    -0.58
    atively
    -0.56
    POSITIVE LOGITS
    stals
    1.39
    baby
    1.26
    stall
    1.13
    ogenic
    0.99
    sis
    0.99
    ogen
    0.98
    stal
    0.96
    pter
    0.95
    onics
    0.92
     wolf
    0.90
    Activations Density 0.040%

    No Known Activations