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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. 11-RES-JB
    11. 22090
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    Explanations

    person names and possibly associated entities or actions, like hitting

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bour
    -0.92
    cycl
    -0.89
     Atkins
    -0.83
    Brook
    -0.80
     Cycl
    -0.80
    Cass
    -0.77
     Bones
    -0.76
     Bos
    -0.76
     Lank
    -0.75
     Bates
    -0.74
    POSITIVE LOGITS
     Nu
    0.93
    egu
    0.91
    uary
    0.90
    u
    0.84
    ew
    0.83
    nu
    0.83
    estine
    0.80
    pu
    0.80
    ETA
    0.76
     Shu
    0.76
    Activations Density 0.623%

    No Known Activations