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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "sneak" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "sneak" and its derivatives

    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
     Pwr
    -0.93
    rices
    -0.72
    nan
    -0.72
    relations
    -0.70
    onial
    -0.69
    ricular
    -0.69
     Archangel
    -0.68
    minus
    -0.66
    acerb
    -0.64
    rises
    -0.64
    POSITIVE LOGITS
     sneak
    1.12
    ily
    1.05
     peek
    0.97
    door
    0.94
     glances
    0.83
    iest
    0.74
    ously
    0.73
    iness
    0.72
    ipeg
    0.72
     clearance
    0.72
    Activations Density 0.011%

    No Known Activations