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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. 3-RES-JB
    11. 245
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    INDEX
    Explanations

    words related to thorough searching or investigating

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to searching and investigation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alone
    -0.73
    wrong
    -0.73
    interstitial
    -0.70
    elo
    -0.70
     pronounced
    -0.66
     collapsing
    -0.64
    death
    -0.62
    emb
    -0.62
     dependence
    -0.60
     nucleus
    -0.60
    POSITIVE LOGITS
    Discuss
    0.79
    yssey
    0.79
     grep
    0.78
    umn
    0.74
    ipel
    0.73
    Ń·
    0.72
     obser
    0.71
    opes
    0.71
     hunts
    0.70
     queries
    0.69
    Activations Density 0.057%

    No Known Activations