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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. 6-RES-JB
    6. 20128
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    Explanations

    words related to the concept of selection or collection

    oai_token-act-pair · gpt-3.5-turbo

    words related to selection and choices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPS
    -0.67
    ordes
    -0.67
    bie
    -0.66
     Redemption
    -0.62
    corn
    -0.62
     Sharon
    -0.61
    Reward
    -0.61
    swick
    -0.59
    HQ
    -0.59
    HA
    -0.58
    POSITIVE LOGITS
    eor
    0.95
    inel
    0.94
    acular
    0.88
    ezvous
    0.87
    ivities
    0.85
    llor
    0.81
    azines
    0.81
    glass
    0.79
    pick
    0.79
    oral
    0.78
    Activations Density 0.063%

    No Known Activations