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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1554
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific terms and concepts related to various fields of knowledge and societal issues

    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
     hypot
    -0.64
     snowy
    -0.59
     backdoor
    -0.58
     haw
    -0.56
    ALSE
    -0.56
     Hoo
    -0.55
     feds
    -0.54
     boun
    -0.54
     skept
    -0.53
     hurdle
    -0.52
    POSITIVE LOGITS
    isine
    0.76
     fame
    0.74
    ĸļ
    0.71
    ontent
    0.71
    ankind
    0.70
     =================================
    0.68
     guiActiveUnfocused
    0.67
     viz
    0.67
     @@
    0.66
    votes
    0.66
    Activations Density 1.218%

    No Known Activations