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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. 3-RES-JB
    11. 15724
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    Explanations

    random occurrences or distributions in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "randomly"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ties
    -0.82
    gers
    -0.78
    ges
    -0.75
    ger
    -0.74
     Millennium
    -0.71
     intentions
    -0.71
    rite
    -0.70
    anyahu
    -0.68
    ryu
    -0.68
     job
    -0.68
    POSITIVE LOGITS
     planted
    0.86
     detonated
    0.86
     chose
    0.82
    selected
    0.81
    UNCH
    0.79
     stumbled
    0.78
     worshipped
    0.78
     allocated
    0.78
     loaded
    0.77
     located
    0.76
    Activations Density 0.021%

    No Known Activations