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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. 2580
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    Explanations

    words related to decision-making or instructions for action

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    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
    pps
    -0.87
    orians
    -0.83
    ²¾
    -0.79
    asures
    -0.78
    ãĥij
    -0.77
    uously
    -0.76
    IDES
    -0.76
    ides
    -0.76
    sts
    -0.75
    ys
    -0.75
    POSITIVE LOGITS
     pesky
    1.18
     kind
    0.95
     sort
    0.94
     fateful
    0.87
     particular
    0.84
     assumption
    0.84
     same
    0.84
     aspect
    0.83
     elusive
    0.82
    cher
    0.81
    Activations Density 0.141%

    No Known Activations