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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. 6-RES-JB
    11. 13665
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    Explanations

    references to proposed legislation and specific policy measures

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating legislative proposals or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chal
    -0.74
    Ti
    -0.69
     Corpus
    -0.64
     Diet
    -0.64
     Tuc
    -0.64
    Statistics
    -0.63
     Vis
    -0.62
    VM
    -0.62
    eyed
    -0.61
    Pie
    -0.60
    POSITIVE LOGITS
     be
    1.06
     doubtless
    1.06
     undoubtedly
    1.00
     introduce
    0.96
     allow
    0.95
     likely
    0.94
     probably
    0.93
     revive
    0.91
     eventually
    0.91
     eliminate
    0.91
    Activations Density 0.155%

    No Known Activations