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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. 15009
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    INDEX
    Explanations

    words expressing judgment or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    positive adjectives or descriptors

    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
    Downloadha
    -0.83
    è¦ļéĨĴ
    -0.77
    çķ
    -0.75
    20439
    -0.74
    conservancy
    -0.74
    åĤ
    -0.70
    SUP
    -0.68
    iership
    -0.65
    à©
    -0.65
    obook
    -0.63
    POSITIVE LOGITS
    ly
    1.03
     Thoughts
    0.87
    entimes
    0.86
     irony
    0.83
     importantly
    0.81
     Stories
    0.80
     Facts
    0.79
     Enough
    0.76
    Sounds
    0.76
     coincidence
    0.76
    Activations Density 0.252%

    No Known Activations