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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. 0-RES-JB
    11. 6774
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    Explanations

    verbs related to causing change or action

    oai_token-act-pair · gpt-3.5-turbo

    words related to causation and necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gigg
    -0.72
     loos
    -0.71
     rel
    -0.70
     added
    -0.65
     unintended
    -0.65
     trademark
    -0.63
    é£
    -0.63
     bit
    -0.63
     moments
    -0.63
     clut
    -0.62
    POSITIVE LOGITS
    itate
    2.38
    ceive
    1.74
    strate
    1.68
    olve
    1.65
    brate
    1.64
    icate
    1.61
    igate
    1.57
    olate
    1.50
    semble
    1.47
    write
    1.46
    Activations Density 0.047%

    No Known Activations