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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. 4-RES-JB
    11. 16273
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    Explanations

    terms related to bureaucratic or organizational structures and processes

    oai_token-act-pair · gpt-3.5-turbo

    references to measurable entities or statistics related to health and safety

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

    No Comments

    Negative Logits
    姫
    -0.57
     FANTASY
    -0.56
    yss
    -0.51
    é¾įå
    -0.50
    EStreamFrame
    -0.49
    laugh
    -0.48
    MpServer
    -0.47
    sbm
    -0.47
    POSE
    -0.46
    çĭ
    -0.46
    POSITIVE LOGITS
     extraord
    0.57
    eers
    0.51
    naire
    0.51
    ousel
    0.49
    orously
    0.48
     hotline
    0.47
     Berman
    0.46
    culosis
    0.46
     attendant
    0.46
     haw
    0.43
    Activations Density 0.934%

    No Known Activations