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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. 2913
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    Explanations

    phrases related to the release of information or reports

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "released" related to reports or data

    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
    isma
    -0.80
    grade
    -0.69
    iop
    -0.68
     Vij
    -0.66
    fine
    -0.61
    esthetic
    -0.59
     flora
    -0.59
     enchantment
    -0.59
    XT
    -0.58
    SL
    -0.58
    POSITIVE LOGITS
    released
    0.88
    æĸ¹
    0.88
     RELEASE
    0.80
     RELE
    0.78
    tions
    0.78
     releasing
    0.76
    tion
    0.75
    Keys
    0.75
    quished
    0.74
    lishing
    0.73
    Activations Density 0.045%

    No Known Activations