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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. 10-RES-JB
    11. 4878
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    Explanations

    phrases related to various topics such as public education, governmental reactions, physical conditions like lack of food and water, and mentions of specific locations or companies

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agents
    -0.85
     è£ıè
    -0.75
    Ord
    -0.75
    assetsadobe
    -0.73
     Aires
    -0.69
    objects
    -0.69
    groups
    -0.69
    ··
    -0.67
    events
    -0.66
    ï
    -0.64
    POSITIVE LOGITS
     handful
    1.20
     penchant
    1.20
     slew
    1.17
     willingness
    1.15
    cknowled
    1.12
     bunch
    1.11
     plethora
    1.11
     consequ
    1.06
     hint
    1.04
     few
    1.04
    Activations Density 0.267%

    No Known Activations