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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. 15709
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    Explanations

    verbs related to causing actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    actions that suggest significant outcomes or consequences

    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
    onian
    -0.66
    jan
    -0.64
    luaj
    -0.62
     beware
    -0.61
     lately
    -0.61
    inis
    -0.61
    oqu
    -0.60
    ovie
    -0.60
    >>\
    -0.59
    yd
    -0.58
    POSITIVE LOGITS
     significantly
    0.81
     substantially
    0.79
     considerably
    0.77
    enance
    0.74
     future
    0.73
     greatly
    0.72
     untold
    0.71
     some
    0.71
     millions
    0.70
     further
    0.69
    Activations Density 0.245%

    No Known Activations