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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. 3-RES-JB
    11. 12664
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    INDEX
    Explanations

    words related to various possibilities and options

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to opportunities and potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roy
    -0.84
    ric
    -0.78
    ograph
    -0.75
    mpire
    -0.72
    die
    -0.69
    OPS
    -0.69
    gar
    -0.68
    Veter
    -0.68
    otto
    -0.68
    ahon
    -0.68
    POSITIVE LOGITS
     possibilities
    1.03
     avenues
    0.90
    uggest
    0.90
    DragonMagazine
    0.89
    hift
    0.85
    izons
    0.81
    etter
    0.79
     options
    0.79
     abound
    0.77
     opportunities
    0.77
    Activations Density 0.015%

    No Known Activations