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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. 6-RES-JB
    11. 3045
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    Explanations

    character sequences representing special characters and symbols

    oai_token-act-pair · gpt-3.5-turbo

    instances of the empty token or the end of text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agre
    -0.90
    chnology
    -0.86
     explan
    -0.83
     incorpor
    -0.81
    ngth
    -0.81
     behavi
    -0.78
     horizont
    -0.77
     manif
    -0.76
     ende
    -0.76
     thous
    -0.76
    POSITIVE LOGITS
    é¾į
    0.93
    °
    0.82
    º
    0.82
    ļ
    0.82
    ef
    0.82
    Fish
    0.80
    RAM
    0.80
    ãĥŃ
    0.79
    OUT
    0.77
    irect
    0.76
    Activations Density 0.027%

    No Known Activations