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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4720
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    letters or abbreviations related to specific titles and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongyang
    -0.74
     brim
    -0.66
    osate
    -0.66
    ccording
    -0.64
    MF
    -0.61
    ecause
    -0.60
    halla
    -0.59
    icians
    -0.59
    icipated
    -0.59
    Chem
    -0.58
    POSITIVE LOGITS
    enment
    0.99
    ciating
    0.74
    ĸļ
    0.73
     Choi
    0.71
    isen
    0.67
    igans
    0.66
    west
    0.65
    wikipedia
    0.64
    hyde
    0.63
     Ruk
    0.62
    Activations Density 0.301%

    No Known Activations