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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4093
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    Explanations

    words related to geographical locations or people's names

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Anar" and its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.94
    directory
    -0.79
    tesy
    -0.78
    ilst
    -0.75
    illian
    -0.74
    Orderable
    -0.73
    iery
    -0.72
    ©¶æ
    -0.71
    atform
    -0.70
    Haunted
    -0.69
    POSITIVE LOGITS
    ov
    0.88
     Ball
    0.86
    roth
    0.81
     Qu
    0.76
    que
    0.76
     Sequ
    0.75
    val
    0.73
    quet
    0.73
    ãĥĪ
    0.72
    Äĩ
    0.72
    Activations Density 0.368%

    No Known Activations