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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. 10-RES-JB
    6. 23895
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    INDEX
    Explanations

    specific mentions of locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" and context related to generational change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tickets
    -0.69
    ©¶æ
    -0.67
    arians
    -0.65
    nesty
    -0.65
    milo
    -0.65
    otte
    -0.64
    orsi
    -0.63
    rand
    -0.63
    raud
    -0.62
     accordingly
    -0.62
    POSITIVE LOGITS
     midst
    1.58
     depths
    1.40
     darkest
    1.27
     trenches
    1.22
     confines
    1.21
     realm
    1.21
     thro
    1.17
     twilight
    1.15
     wilderness
    1.13
     darkness
    1.13
    Activations Density 0.255%

    No Known Activations