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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. 3-RES-JB
    11. 3027
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    Explanations

    confidential or classified information

    oai_token-act-pair · gpt-3.5-turbo

    terms related to confidentiality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    annis
    -1.02
    alis
    -0.84
    imus
    -0.81
    ̶
    -0.80
    ixels
    -0.77
    plex
    -0.73
    hao
    -0.70
    ð
    -0.70
    akeru
    -0.70
    opp
    -0.70
    POSITIVE LOGITS
     confidential
    1.30
     informant
    1.06
     informants
    1.02
    idential
    0.94
     confidentiality
    0.92
     correspondence
    0.82
     information
    0.81
     documents
    0.80
     briefings
    0.79
    iated
    0.79
    Activations Density 0.013%

    No Known Activations