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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 7780
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    INDEX
    Explanations

    verbs related to acquiring or getting something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "obtain" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psc
    -0.72
    hov
    -0.72
    gae
    -0.71
    erness
    -0.71
    heartedly
    -0.69
    sis
    -0.67
    roller
    -0.67
    cas
    -0.67
    say
    -0.67
    amd
    -0.66
    POSITIVE LOGITS
     permission
    1.15
     authorization
    0.95
     signatures
    0.94
     permits
    0.91
     access
    0.90
     licenses
    0.89
     clearance
    0.86
    hold
    0.85
     unrestricted
    0.84
     warrants
    0.84
    Activations Density 0.091%

    No Known Activations