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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. 4-RES-JB
    11. 14588
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    INDEX
    Explanations

    three-letter words starting with 'exp' followed by a number indicating intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "export" in various contexts

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

    No Comments

    Negative Logits
    warm
    -0.78
    LOAD
    -0.77
    HEAD
    -0.74
    geist
    -0.73
    GROUND
    -0.71
    STEM
    -0.70
     Crom
    -0.68
     Hook
    -0.68
     Akin
    -0.67
    HCR
    -0.67
    POSITIVE LOGITS
    ropri
    1.21
    orters
    1.19
    orter
    1.13
    iry
    1.06
    ittance
    0.98
    ulsion
    0.95
    uls
    0.92
    iring
    0.90
    iled
    0.89
    onents
    0.89
    Activations Density 0.005%

    No Known Activations