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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. 11027
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    Explanations

    phrases related to taking action or making changes

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to systems, processes, and reform

    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
    ?]
    -0.79
    enko
    -0.70
    )=
    -0.69
     confir
    -0.67
    "))
    -0.65
    "]=>
    -0.61
    ?)
    -0.61
    lege
    -0.58
    "],"
    -0.58
    âĢ¦)
    -0.58
    POSITIVE LOGITS
     oneself
    0.93
     Yourself
    0.83
     yourself
    0.76
     guiActive
    0.66
     predetermined
    0.62
     Swordsman
    0.59
    TPS
    0.58
     ourselves
    0.57
     concessions
    0.57
    emonic
    0.55
    Activations Density 0.497%

    No Known Activations