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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. 3006
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    Explanations

    verbs related to initiating or participating in actions involving other entities, often at a high intensity or official level

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating acceptance or negotiation in formal contexts

    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
    riber
    -0.87
    å°Ĩ
    -0.80
    Interstitial
    -0.75
    ortality
    -0.72
    ãĥĻ
    -0.70
     teasp
    -0.69
    Present
    -0.68
     pione
    -0.66
    uties
    -0.64
    terness
    -0.63
    POSITIVE LOGITS
     NGOs
    0.84
    netflix
    0.75
     applicants
    0.69
     Serbia
    0.69
     plaintiffs
    0.68
     petitioner
    0.68
     Plaint
    0.68
     nonprofits
    0.67
     AMER
    0.66
     Kosovo
    0.66
    Activations Density 0.630%

    No Known Activations