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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. 1-RES-JB
    11. 14150
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    INDEX
    Explanations

    specific locations or points of entry

    oai_token-act-pair · gpt-3.5-turbo

    references to various entrances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.69
    elf
    -0.66
    ished
    -0.64
    pend
    -0.64
    verbs
    -0.63
    grave
    -0.62
    20439
    -0.61
    eric
    -0.61
     Loaded
    -0.60
    abi
    -0.60
    POSITIVE LOGITS
     entrance
    1.36
     entrances
    1.17
     gates
    0.96
    pole
    0.92
    door
    0.90
     thereto
    0.88
     doors
    0.88
    prise
    0.83
     doorway
    0.82
     entry
    0.82
    Activations Density 0.010%

    No Known Activations