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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. 1-RES-JB
    11. 21248
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    INDEX
    Explanations

    long-tail keywords

    oai_token-act-pair · gpt-3.5-turbo

    words related to keywords and search optimization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erest
    -0.78
     Tob
    -0.77
    llah
    -0.76
     Rabbit
    -0.74
     Democr
    -0.74
    ration
    -0.72
    hell
    -0.71
    ews
    -0.71
     Rud
    -0.71
    kens
    -0.70
    POSITIVE LOGITS
     keywords
    1.45
     keyword
    1.43
     sear
    0.99
     qualifier
    0.89
     adjective
    0.88
     searches
    0.85
     tags
    0.84
     phrase
    0.82
     buzz
    0.82
     subp
    0.80
    Activations Density 0.011%

    No Known Activations