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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. 9-RES-JB
    11. 13531
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    Explanations

    hyphenated words used to convey emphasis or deep thought

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fear and its effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynski
    -0.66
     Flores
    -0.64
     Continental
    -0.63
     Cec
    -0.60
     AVG
    -0.59
     indemn
    -0.59
     Moj
    -0.59
     Burr
    -0.58
     minors
    -0.58
     gears
    -0.58
    POSITIVE LOGITS
    filled
    1.01
    seeking
    0.99
    driven
    0.96
    seekers
    0.95
    staking
    0.94
    leaders
    0.93
    based
    0.93
    leader
    0.91
    guided
    0.91
    inducing
    0.90
    Activations Density 0.117%

    No Known Activations