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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. 7-RES-JB
    11. 13602
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    Explanations

    two-word phrases related to competition and financial independence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pires
    -0.70
    bnb
    -0.64
     partName
    -0.64
     MFT
    -0.62
     Liberties
    -0.60
    estern
    -0.59
    azeera
    -0.59
    anco
    -0.58
    rawdownloadcloneembedreportprint
    -0.58
    DX
    -0.58
    POSITIVE LOGITS
    instead
    0.79
     someday
    0.77
    later
    0.76
     instead
    0.71
     hadn
    0.71
     eventual
    0.69
     "âĢ¦
    0.65
     resembled
    0.65
     beforehand
    0.63
     quotas
    0.62
    Activations Density 1.545%

    No Known Activations