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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. 8-RES-JB
    11. 2512
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    INDEX
    Explanations

    phrases related to significant or impactful events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating surprising or unexpected events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izons
    -0.95
    azines
    -0.72
    omever
    -0.71
    azine
    -0.70
    onents
    -0.69
    alions
    -0.66
    omorph
    -0.65
    ophers
    -0.64
     buttons
    -0.62
    û
    -0.62
    POSITIVE LOGITS
     reversal
    1.00
     effort
    0.88
     nutshell
    0.88
     bombshell
    0.87
     bid
    0.86
     concession
    0.84
     attempt
    0.80
    stakes
    0.80
     testament
    0.79
    Synopsis
    0.78
    Activations Density 0.224%

    No Known Activations