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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. 6-RES-JB
    11. 752
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    Explanations

    phrases expressing unnecessary information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating obligation or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    finding
    -0.77
    ansas
    -0.76
    cular
    -0.72
    nels
    -0.68
    ONSORED
    -0.68
    lessly
    -0.67
    ISON
    -0.66
    MAP
    -0.66
    accompanied
    -0.65
    bage
    -0.65
    POSITIVE LOGITS
     conclud
    0.78
    adena
    0.70
    hew
    0.69
    instance
    0.67
    ffe
    0.62
     Confederation
    0.59
     occ
    0.59
     caveat
    0.58
     Favor
    0.58
    ggles
    0.57
    Activations Density 0.106%

    No Known Activations