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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. 7-RES-JB
    11. 7365
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    Explanations

    phrases related to religious faith and determination

    oai_token-act-pair · gpt-3.5-turbo

    themes related to empowerment and personal strength

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     themselves
    -0.72
     respectively
    -0.66
    EMS
    -0.61
    WARE
    -0.57
     alike
    -0.57
     Their
    -0.55
     Harding
    -0.53
     itself
    -0.53
    Their
    -0.53
     Us
    -0.52
    POSITIVE LOGITS
     myself
    1.30
    poke
    0.79
     my
    0.77
    ograp
    0.68
    milo
    0.66
     fuckin
    0.63
    oan
    0.61
     sacrific
    0.61
     personally
    0.60
     compan
    0.59
    Activations Density 1.074%

    No Known Activations