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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. 22425
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    Explanations

    words related to political and social issues with a focus on specific organizations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    single-letter words and short prepositions

    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
    è£ħ
    -0.81
    Magikarp
    -0.80
    REDACTED
    -0.75
    姫
    -0.70
     behavi
    -0.69
     score
    -0.68
    DERR
    -0.68
    Redditor
    -0.67
    åŃIJ
    -0.67
    ãĥ¼ãĥĨ
    -0.67
    POSITIVE LOGITS
    ul
    0.98
    hid
    0.89
    uz
    0.88
    any
    0.88
    ara
    0.86
    ana
    0.84
    adic
    0.83
    ared
    0.82
    û
    0.81
    ember
    0.81
    Activations Density 0.187%

    No Known Activations