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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. 18099
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    INDEX
    Explanations

    phrases indicating thoughts, beliefs, or expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express beliefs or misconceptions

    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
    estern
    -0.71
    ynski
    -0.61
    ichever
    -0.58
    iencies
    -0.57
    ashtra
    -0.56
    gre
    -0.56
     breakdown
    -0.56
     Dickinson
    -0.56
    ighed
    -0.55
     ACTIONS
    -0.55
    POSITIVE LOGITS
    .
    0.79
    .?
    0.79
     ;)
    0.79
    ().
    0.76
    _.
    0.76
    .--
    0.75
     ().
    0.74
    ion
    0.74
    .","
    0.72
     theirs
    0.71
    Activations Density 0.146%

    No Known Activations