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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. 2-RES-JB
    11. 21945
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    Explanations

    references to code or text lines

    oai_token-act-pair · gpt-3.5-turbo

    references to "lines" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ricular
    -0.77
    CLASSIFIED
    -0.76
    KNOWN
    -0.75
    rontal
    -0.72
    ãĥ¼ãĥĨ
    -0.71
    Rot
    -0.70
    sonian
    -0.68
    ILY
    -0.68
    ãĥĥ
    -0.66
    AE
    -0.65
    POSITIVE LOGITS
    lines
    0.99
     lines
    0.99
    mith
    0.89
    pace
    0.88
     Lines
    0.88
    breaks
    0.84
    poon
    0.82
    heet
    0.80
    backer
    0.80
    ystem
    0.80
    Activations Density 0.017%

    No Known Activations