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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. 15304
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    Explanations

    terms related to technology and data manipulation, such as updates, documents, and orders

    oai_token-act-pair · gpt-3.5-turbo

    nouns and concepts related to measurements and outputs in various contexts

    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
    aly
    -0.69
    SHIP
    -0.68
    sw
    -0.68
    oos
    -0.63
    fare
    -0.62
    Ark
    -0.60
    away
    -0.58
    chester
    -0.57
    alist
    -0.56
    squ
    -0.56
    POSITIVE LOGITS
    ometimes
    1.14
    ilver
    1.03
    afety
    1.00
    omething
    0.98
    heet
    0.91
    ensibly
    0.91
    paces
    0.87
    uggest
    0.87
    everal
    0.85
    hirt
    0.85
    Activations Density 0.385%

    No Known Activations