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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. 6-RES-JB
    11. 8497
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    Explanations

    phrases related to winning, earning, or achieving success

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "bringing home" or achieving something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uga
    -0.74
    "]=>
    -0.73
    alias
    -0.72
    uary
    -0.69
    uel
    -0.67
    tg
    -0.67
    erity
    -0.66
    appa
    -0.66
    sect
    -0.64
    utsu
    -0.64
    POSITIVE LOGITS
    nikov
    0.75
    minist
    0.75
    grown
    0.73
    opathic
    0.71
    raised
    0.69
    ruck
    0.67
    opath
    0.67
     safely
    0.65
     advoc
    0.64
    arsh
    0.62
    Activations Density 0.019%

    No Known Activations