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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. 1-RES-JB
    11. 21480
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    Explanations

    numbers enclosed in brackets

    oai_token-act-pair · gpt-3.5-turbo

    special character sequences, particularly brackets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©
    -0.79
    owers
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.72
    ãģ®ç
    -0.71
    oÄŁ
    -0.67
     Fug
    -0.67
     rings
    -0.66
    gling
    -0.66
     Boh
    -0.64
    oor
    -0.64
    POSITIVE LOGITS
    ...]
    1.42
    âĢ¦]
    1.24
    ][
    1.21
     ][
    0.94
    !]
    0.92
    ?]
    0.90
    actionDate
    0.85
    division
    0.83
    .]
    0.83
    Pg
    0.83
    Activations Density 0.012%

    No Known Activations