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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. 8190
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    Explanations

    phrases related to representation or symbolization

    oai_token-act-pair · gpt-3.5-turbo

    references to representation and authority in various contexts

    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
     tun
    -0.64
     bombs
    -0.62
     dazz
    -0.62
     assum
    -0.60
    iously
    -0.58
     publishes
    -0.58
     ignition
    -0.58
     Nightmares
    -0.57
    bomb
    -0.57
     Nikol
    -0.57
    POSITIVE LOGITS
     pinnacle
    0.84
     constituents
    0.76
     interests
    0.76
    Interstitial
    0.76
    OPLE
    0.74
     culmination
    0.72
    opian
    0.71
    utral
    0.70
    POS
    0.69
     widest
    0.68
    Activations Density 0.153%

    No Known Activations