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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. 7-RES-JB
    11. 8843
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    Explanations

    phrases related to consequences or actions being significant or impactful

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant emotional or psychological weight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     facult
    -0.79
    vati
    -0.72
    vironment
    -0.70
     surplus
    -0.69
    hops
    -0.69
    regulated
    -0.69
    rats
    -0.68
     complying
    -0.67
     preferential
    -0.67
    uties
    -0.64
    POSITIVE LOGITS
     haunt
    1.20
     vividly
    1.03
     haunting
    1.03
     echoes
    1.01
     etched
    0.98
     vivid
    0.98
     reverber
    0.91
     poignant
    0.91
     remem
    0.90
     reminders
    0.85
    Activations Density 0.558%

    No Known Activations