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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. 9-RES-JB
    11. 17725
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    Explanations

    numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or codes related to classifications or identifiers

    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
     Whats
    -0.67
    dayName
    -0.64
     Him
    -0.62
     bang
    -0.61
    EStreamFrame
    -0.59
     iP
    -0.59
    assetsadobe
    -0.59
     Oval
    -0.59
     CES
    -0.58
     PSP
    -0.58
    POSITIVE LOGITS
    68
    1.41
    34
    1.40
    28
    1.40
    78
    1.40
    38
    1.40
    88
    1.38
    46
    1.38
    62
    1.37
    98
    1.37
    66
    1.37
    Activations Density 0.100%

    No Known Activations