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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. 9-RES-JB
    11. 16337
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    Explanations

    phrases related to agreements or statements of intent

    oai_token-act-pair · gpt-3.5-turbo

    references to expressions of gratitude or appreciation

    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
     consolation
    -0.68
     rewritten
    -0.65
     revis
    -0.64
     revisit
    -0.64
     retrospect
    -0.63
     hindsight
    -0.59
     residual
    -0.59
     anew
    -0.59
     sob
    -0.58
     ling
    -0.57
    POSITIVE LOGITS
    SpaceEngineers
    0.77
     Defendant
    0.63
    ussia
    0.61
    Course
    0.59
    oubtedly
    0.56
    aspers
    0.55
    aza
    0.55
    iencies
    0.53
    liament
    0.52
    oti
    0.52
    Activations Density 1.456%

    No Known Activations