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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. 2-RES-JB
    11. 8915
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    Explanations

    words related to technology companies and products

    oai_token-act-pair · gpt-3.5-turbo

    specific brands and entities related to technology and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oided
    -0.86
    ablishment
    -0.79
     Mü
    -0.74
    ftime
    -0.71
     Alz
    -0.68
     nu
    -0.67
     Barcl
    -0.67
     Franks
    -0.67
    iatus
    -0.66
     Bram
    -0.65
    POSITIVE LOGITS
    aldi
    0.91
    ahime
    0.89
    shaw
    0.80
    aida
    0.78
    arms
    0.76
    illus
    0.76
    zin
    0.76
    uscript
    0.75
    bending
    0.74
    isphere
    0.73
    Activations Density 0.018%

    No Known Activations