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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. 10864
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    Explanations

    phrases related to meeting or exceeding expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate meeting or falling short of expectations

    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
     actionGroup
    -0.65
    Cola
    -0.59
    MAC
    -0.58
    [/
    -0.57
     Selected
    -0.55
     largeDownload
    -0.54
    itu
    -0.53
     PLUS
    -0.53
    avid
    -0.53
    keyes
    -0.52
    POSITIVE LOGITS
    reys
    0.73
    shire
    0.69
     corrid
    0.65
    oland
    0.65
    oho
    0.65
    REAM
    0.65
    OOK
    0.65
    appa
    0.63
    ishly
    0.62
    ouston
    0.62
    Activations Density 0.049%

    No Known Activations