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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. 11-RES-JB
    11. 6881
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    Explanations

    phrases related to receiving feedback or responses from others

    oai_token-act-pair · gpt-3.5-turbo

    mentions of received feedback or responses to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    attach
    -0.86
    fax
    -0.70
     isEnabled
    -0.70
    AIDS
    -0.69
    clair
    -0.68
    ___
    -0.67
    ashington
    -0.67
     ÂŃ
    -0.66
    Newsletter
    -0.66
    displayText
    -0.66
    POSITIVE LOGITS
     alot
    1.22
     tons
    1.21
     lots
    1.12
     quite
    1.09
     loads
    1.09
     plenty
    1.08
     HUGE
    1.06
     139
    0.99
     fantastic
    0.99
     incredible
    0.99
    Activations Density 0.497%

    No Known Activations