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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. 3-RES-JB
    11. 8722
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    Explanations

    proper nouns, particularly names of political figures

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and terms related to governance or authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.81
    Þ
    -0.79
     polar
    -0.78
    acebook
    -0.74
     tremend
    -0.73
     carbohyd
    -0.72
    ß
    -0.72
    ntil
    -0.72
    ournal
    -0.71
    PDATE
    -0.69
    POSITIVE LOGITS
    berg
    1.13
    mann
    1.11
    gren
    1.07
     Jr
    1.07
    hoff
    1.04
    feld
    1.02
    ville
    1.01
    ston
    1.01
    dale
    0.98
    field
    0.97
    Activations Density 0.350%

    No Known Activations