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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. 6071
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    Explanations

    specific names and terms related to a particular entity or concept, likely related to the term "Gw" and "Huawei"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations and organizations

    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
    otal
    -0.96
    arse
    -0.88
    ucc
    -0.84
    ek
    -0.79
    eto
    -0.78
    este
    -0.78
    onent
    -0.77
    ensibly
    -0.75
    hest
    -0.75
    igm
    -0.74
    POSITIVE LOGITS
    hips
    0.75
     Gw
    0.74
    æ©Ł
    0.68
    theless
    0.67
     fibre
    0.66
    awei
    0.66
     Falls
    0.66
     needle
    0.66
     tuned
    0.64
     cryst
    0.63
    Activations Density 0.022%

    No Known Activations