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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. 11244
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    Explanations

    phrases related to holding someone accountable for their actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accountability and ethical standards

    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
     Lur
    -0.68
     entangled
    -0.66
     intertwined
    -0.65
     merged
    -0.64
     Bought
    -0.63
     activated
    -0.63
     WATCHED
    -0.62
     stuck
    -0.61
     enlarg
    -0.61
     pitted
    -0.60
    POSITIVE LOGITS
    asty
    0.99
    asts
    0.87
     ransom
    0.86
    asting
    0.84
    ilings
    0.83
    asted
    0.80
    ilers
    0.77
    iling
    0.76
     repentance
    0.76
    GET
    0.75
    Activations Density 0.105%

    No Known Activations