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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. 2600
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    INDEX
    Explanations

    mentions of people or entities in a news context

    oai_token-act-pair · gpt-3.5-turbo

    references to various stakeholders or groups involved in events

    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
    Effective
    -0.73
    Winner
    -0.72
    âĶĢâĶĢâĶĢâĶĢ
    -0.72
    Aff
    -0.69
    Capital
    -0.66
    Okay
    -0.65
    âĺħâĺħ
    -0.65
    vet
    -0.65
    NER
    -0.64
    Enh
    -0.64
    POSITIVE LOGITS
     chanted
    1.28
     complained
    1.17
     gathered
    1.13
     allege
    1.11
     reacted
    1.07
     rallied
    1.05
     protested
    1.04
     piled
    1.03
     poured
    1.00
     hurled
    0.99
    Activations Density 0.335%

    No Known Activations