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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. 4782
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    INDEX
    Explanations

    assertions related to actions and consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that highlight personal empowerment and self-agency

    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
    Scroll
    -0.67
    scroll
    -0.66
     todd
    -0.66
    enne
    -0.64
    TPPStreamerBot
    -0.62
    Feature
    -0.62
    earch
    -0.61
     Clover
    -0.60
    tions
    -0.58
    Bench
    -0.58
    POSITIVE LOGITS
     unwittingly
    1.20
     inadvertently
    1.18
     implicitly
    1.14
     indirectly
    1.12
     depri
    1.06
     thereby
    1.05
     unintentionally
    0.98
     perpet
    0.97
     tacit
    0.96
     legitim
    0.96
    Activations Density 0.378%

    No Known Activations