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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. 4-RES-JB
    11. 146
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    Explanations

    bookmarks or mentions of marking a specific spot for reference within a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mark" and its variations in various contexts

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

    No Comments

    Negative Logits
    ILLE
    -0.67
    ADS
    -0.65
     wages
    -0.65
    agan
    -0.65
    apist
    -0.63
     Lak
    -0.61
     Watts
    -0.61
    azar
    -0.57
     speaking
    -0.57
     immensely
    -0.56
    POSITIVE LOGITS
    eters
    1.05
    hyde
    1.05
    mark
    1.03
    tenance
    1.03
    eer
    1.02
    marks
    1.01
    manship
    0.94
    erity
    0.88
    emark
    0.85
    furt
    0.84
    Activations Density 0.010%

    No Known Activations