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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. 12-RES-JB
    11. 3998
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    Explanations

    references to specific publications or websites

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to the concept of memory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     hearts
    -0.57
     waiting
    -0.56
     rooting
    -0.56
     doub
    -0.56
     alarms
    -0.56
     narcotics
    -0.55
     licenses
    -0.53
     incentives
    -0.53
     unmanned
    -0.52
     holiday
    -0.52
    POSITIVE LOGITS
    phis
    1.45
    orable
    1.35
    oir
    1.35
    orial
    1.19
    oire
    1.14
    oria
    1.13
    etic
    1.12
    eor
    1.09
    ories
    1.07
    orie
    1.06
    Activations Density 0.013%

    No Known Activations