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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. 7903
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    Explanations

    phrases indicating future events or planning

    oai_token-act-pair · gpt-3.5-turbo

    references to planning or anticipating future events

    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
    lee
    -0.77
    rug
    -0.73
    odor
    -0.73
    cu
    -0.70
    arov
    -0.70
    izards
    -0.69
    mini
    -0.68
     sport
    -0.68
    ASE
    -0.67
    aida
    -0.66
    POSITIVE LOGITS
    Ħ¢
    0.93
     ahead
    0.91
    olicy
    0.90
    manship
    0.75
    wards
    0.74
    etheless
    0.72
    itiz
    0.70
     antioxid
    0.70
    ģĸ
    0.70
    noon
    0.68
    Activations Density 0.010%

    No Known Activations