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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. 4-RES-JB
    11. 6537
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    Explanations

    words related to specific names or terms, potentially related to individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    variations of words related to aquatic animals and geographical bodies of water

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

    No Comments

    Negative Logits
    vertisement
    -0.65
    HAHAHAHA
    -0.64
     accelerator
    -0.64
    FORM
    -0.63
    ãĤ¤ãĥĪ
    -0.62
    ãĥīãĥ©ãĤ´ãĥ³
    -0.61
     brightest
    -0.59
     calf
    -0.59
     merry
    -0.59
     imitation
    -0.59
    POSITIVE LOGITS
    wed
    0.78
    eper
    0.70
    pta
    0.65
    abo
    0.65
    pard
    0.64
    venants
    0.64
     Vul
    0.64
    fried
    0.62
    ön
    0.62
    fo
    0.62
    Activations Density 0.101%

    No Known Activations