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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. 11-RES-JB
    11. 14279
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    Explanations

    words related to negative emotions or situations, such as "disrupters," "disheartened," and "disincentives."

    oai_token-act-pair · gpt-3.5-turbo

    words related to disruption or negative changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     breeze
    -0.63
     whisper
    -0.62
     heading
    -0.61
     adults
    -0.60
     formula
    -0.58
     remark
    -0.58
    ATURE
    -0.57
     Prompt
    -0.57
     Eve
    -0.57
     aloud
    -0.57
    POSITIVE LOGITS
    array
    1.40
    concert
    1.40
    orient
    1.35
    affected
    1.27
    burse
    1.26
    incent
    1.26
    quiet
    1.26
    semb
    1.25
    organized
    1.24
    assemb
    1.23
    Activations Density 0.015%

    No Known Activations