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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. 8-RES-JB
    11. 5034
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    Explanations

    adjectives describing qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors that convey strong evaluations or judgments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾į
    -0.86
    osponsors
    -0.83
    apper
    -0.78
     Parables
    -0.75
    channelAvailability
    -0.73
    yk
    -0.65
    eper
    -0.65
    conom
    -0.64
     sidx
    -0.64
    911
    -0.63
    POSITIVE LOGITS
     bast
    0.71
     Crimean
    0.65
     appar
    0.63
    istic
    0.63
    ,
    0.61
     figures
    0.61
    izational
    0.61
     Commonwealth
    0.60
     STD
    0.60
     affair
    0.58
    Activations Density 0.174%

    No Known Activations