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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. 2-RES-JB
    11. 5374
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    Explanations

    adjectives that express intensity or seriousness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sincerity and the lack of meaningful action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Trend
    -0.75
    RN
    -0.71
    UC
    -0.69
    AW
    -0.68
     STATS
    -0.68
    avia
    -0.67
    RIP
    -0.66
    odan
    -0.65
    udder
    -0.64
    NAT
    -0.63
    POSITIVE LOGITS
    ly
    1.00
     earnest
    0.97
    ness
    0.92
     vain
    0.90
     endeav
    0.86
    ishly
    0.83
    lication
    0.83
    eful
    0.83
    lly
    0.79
     aspiration
    0.79
    Activations Density 0.021%

    No Known Activations