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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. 8-RES-JB
    11. 11139
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    Explanations

    phrases related to specific items or products, potentially advertisements

    oai_token-act-pair · gpt-3.5-turbo

    words related to enjoyment and playfulness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gw
    -0.77
     Fitz
    -0.71
     disbelief
    -0.67
     Virgin
    -0.67
     Rein
    -0.66
     intrinsic
    -0.66
    theless
    -0.65
     interchange
    -0.65
     Wide
    -0.65
     inherent
    -0.65
    POSITIVE LOGITS
    aters
    1.12
    ules
    1.07
    rations
    1.06
    atures
    1.04
    actions
    1.02
    ctions
    0.99
    oops
    0.98
    elines
    0.98
    iaries
    0.97
    estones
    0.97
    Activations Density 0.278%

    No Known Activations