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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. 6-RES-JB
    11. 9635
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    Explanations

    phrases related to technology or software development

    oai_token-act-pair · gpt-3.5-turbo

    elements related to contrasting ideas or situations

    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
    .""
    -0.42
    heid
    -0.41
    .","
    -0.39
    )</
    -0.36
    sic
    -0.36
    .</
    -0.35
     ..."
    -0.35
    mpire
    -0.34
     pic
    -0.33
     choke
    -0.33
    POSITIVE LOGITS
    ¶
    0.39
    ©¶æ
    0.37
    isconsin
    0.35
     Canaver
    0.34
    enum
    0.33
     Hopkins
    0.31
    endum
    0.31
     Cohn
    0.31
     Lydia
    0.31
     anecd
    0.30
    Activations Density 4.878%

    No Known Activations