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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11583
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    Explanations

    references to the company Yahoo

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Yahoo and related references

    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
    ateral
    -0.75
    nered
    -0.74
     Uriel
    -0.71
    displayText
    -0.70
    iard
    -0.67
    ingham
    -0.66
    ĸļ
    -0.66
    20439
    -0.66
    alez
    -0.65
    ajor
    -0.65
    POSITIVE LOGITS
    ahoo
    0.89
    tags
    0.82
     Answers
    0.76
    Talk
    0.74
    tag
    0.72
     News
    0.72
     Finance
    0.70
     Sports
    0.70
    pages
    0.70
     View
    0.69
    Activations Density 0.012%

    No Known Activations